Fixed reference · 2026-10-11-v1
Crypto & AI reading map
An editorial map of people and organizations on X, connected to original work and a useful place to begin reading.
- Profiles
- 95
- Distinct work URLs
- 225
- Reading recommendations
- 226
84 people and 11 organizations. A work can be selected under more than one profile, with a different reading note for each.
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Search the recorded names, handles, work titles and reading notes. Topics apply to explicitly tagged works and matching first materials in the released reading selections.
226 of 226 reading recommendations
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Project essay · 6529
About The Memes
The project's short introduction connects shared cultural symbols with large art editions, CC0 remixing and an open metaverse. It explains the collection's purpose; individual cards have their own artists.
6529's profile · @punk6529 · Pseudonymous writer on NFT ownership and meme culture
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6529 — About The Memes. XFollowList reading map 2026-10-11-v1.
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Thread · 6529
On The Memes
His launch thread explains the collection's cultural goals and credits individual artists. Posts 13 and 19 distinguish the CC0 cards from underlying elements whose rights were retained.
6529's profile · @punk6529 · Pseudonymous writer on NFT ownership and meme culture
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6529 — On The Memes. XFollowList reading map 2026-10-11-v1.
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Thread · 6529
On Why The Metaverse Needs Crypto
A thread about who records ownership of digital objects. Posts 16 and 26 connect the company-database versus public-blockchain choice to NFT interoperability; its technology projections are the author's 2022 argument.
6529's profile · @punk6529 · Pseudonymous writer on NFT ownership and meme culture
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6529 — On Why The Metaverse Needs Crypto. XFollowList reading map 2026-10-11-v1.
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Workflow · Addy Osmani
My LLM coding workflow going into 2026
How do you keep an AI coding session moving toward a checked result? Follow his sequence of specifications, small changes, relevant context, tests and commits.
Addy Osmani's profile · @addyosmani · Engineer working on Claude Code at Anthropic
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Addy Osmani — My LLM coding workflow going into 2026. XFollowList reading map 2026-10-11-v1.
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Engineering essay · Addy Osmani
The New Software Lifecycle
What changes when agents work across the development process? His discussion of the agent's tools, context and evaluations helps explain why choosing a model is only one part of the job.
Addy Osmani's profile · @addyosmani · Engineer working on Claude Code at Anthropic
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Addy Osmani — The New Software Lifecycle. XFollowList reading map 2026-10-11-v1.
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Product essay · Amjad Masad
Computers Doing The Right Thing
Which setup steps can software infer from a user's actions? His Replit examples show the product thinking behind detecting intent and reducing configuration.
Amjad Masad's profile · @amasad · Replit founder and CEO
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Amjad Masad — Computers Doing The Right Thing. XFollowList reading map 2026-10-11-v1.
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Founder essay · Amjad Masad
How to Keep Winning
Why did Replit move toward natural-language app creation? Read the pivot account and the infrastructure example: collaboration technology reused for parallel agents and reversing changes.
Amjad Masad's profile · @amasad · Replit founder and CEO
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Amjad Masad — How to Keep Winning. XFollowList reading map 2026-10-11-v1.
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Technical explainer · Anatoly Yakovenko
Proof of History: A Clock for Blockchain
His authored explainer uses a photograph and newspaper to introduce bounds on event timing, then follows the hash sequence and parallel verification. The date displayed on the page is April 2018.
Anatoly Yakovenko's profile · @aeyakovenko · Solana cofounder and blockchain systems engineer
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Anatoly Yakovenko — Proof of History: A Clock for Blockchain. XFollowList reading map 2026-10-11-v1.
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Whitepaper · Anatoly Yakovenko
Solana: A new architecture for a high performance blockchain
Start with the abstract and sections 3–4 of version 0.8.13 for the original ordering and time-verification problem. The paper uses Proof of History alongside a consensus algorithm; its performance model is historical.
Anatoly Yakovenko's profile · @aeyakovenko · Solana cofounder and blockchain systems engineer
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Anatoly Yakovenko — Solana: A new architecture for a high performance blockchain. XFollowList reading map 2026-10-11-v1.
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Technical guide · Andre Cronje
Put Options Marketplace — Trade Flying Tulip PUT Options (ftPUT)
His guide separates the FT token from an ftPUT position and explains redemption rights and checks against a changed position.
Andre Cronje's profile · @AndreCronjeTech · DeFi builder and Flying Tulip founder
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Andre Cronje — Put Options Marketplace — Trade Flying Tulip PUT Options (ftPUT). XFollowList reading map 2026-10-11-v1.
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Essay · Andre Cronje
The Next DeFi Cycle Is Market Structure
Start with the fragmented-collateral problem, then follow his proposed connection between execution, credit and settlement.
Andre Cronje's profile · @AndreCronjeTech · DeFi builder and Flying Tulip founder
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Andre Cronje — The Next DeFi Cycle Is Market Structure. XFollowList reading map 2026-10-11-v1.
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Tutorial · Andrej Karpathy
A from-scratch tour of Bitcoin in Python
What is inside a Bitcoin transaction? This educational walkthrough builds keys, addresses, signatures and a testnet transaction in Python, connecting the cryptography to the data that moves through the network.
Andrej Karpathy's profile · @karpathy · AI researcher and educator
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Andrej Karpathy — A from-scratch tour of Bitcoin in Python. XFollowList reading map 2026-10-11-v1.
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Code · Andrej Karpathy
autoresearch: agents running training experiments
How can an agent evaluate its own changes? Read the README and program.md to see a small experiment loop with one editable training file, a fixed time budget and a measured result.
Andrej Karpathy's profile · @karpathy · AI researcher and educator
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Andrej Karpathy — autoresearch: agents running training experiments. XFollowList reading map 2026-10-11-v1.
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Course · Andrej Karpathy
Neural Networks: Zero to Hero
How do neural networks become language models? Karpathy’s course builds from backpropagation to GPT and tokenization. It asks for solid Python and introductory calculus; use the earlier lessons before the GPT implementation.
Andrej Karpathy's profile · @karpathy · AI researcher and educator
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Andrej Karpathy — Neural Networks: Zero to Hero. XFollowList reading map 2026-10-11-v1.
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Post · Andrej Karpathy
Vibe coding: the original description
What does building through conversation look like? Karpathy describes a workflow in which spoken requests drive changes and the developer stops focusing on the code itself.
Andrej Karpathy's profile · @karpathy · AI researcher and educator
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Andrej Karpathy — Vibe coding: the original description. XFollowList reading map 2026-10-11-v1.
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Interview · Anna Rose
Alex Ozdemir on where Theorem Provers and ZK meet
Start around 30:59 in the official transcript for Anna's question about Lean, then the comparison with SMT solvers. This is a more technical hosted discussion about proof tools and verification.
Anna Rose's profile · @AnnaRRose · Zero-knowledge podcast host and research interviewer
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Anna Rose — Alex Ozdemir on where Theorem Provers and ZK meet. XFollowList reading map 2026-10-11-v1.
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Podcast · Anna Rose
ZK Jargon Decoder with Nico Mohnblatt
Start at 09:45–21:06 in the transcript: Anna and Nico unpack statements, witnesses, privacy and prover/verifier roles. Factoring and Where's Waldo provide concrete examples before the later technical sections.
Anna Rose's profile · @AnnaRRose · Zero-knowledge podcast host and research interviewer
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Anna Rose — ZK Jargon Decoder with Nico Mohnblatt. XFollowList reading map 2026-10-11-v1.
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Interview · Ansem
Ansem on Solana, altcoins, BONK and trading strategies — episode 290
Why write a trading journal in public? Begin with the journal passage before the Solana question. The transcript, last updated 19 December 2023, explains how he records ideas and revisits mistakes.
Ansem's profile · @blknoiz06 · Crypto trader and market commentator
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Ansem — Ansem on Solana, altcoins, BONK and trading strategies — episode 290. XFollowList reading map 2026-10-11-v1.
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Essay · Ansem
The ANSEM Thesis
How does he connect a token project to his brand? Shared in his own post on 16 July 2026, the article describes his ventures, a community takeover and creator-network plans.
Ansem's profile · @blknoiz06 · Crypto trader and market commentator
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Ansem — The ANSEM Thesis. XFollowList reading map 2026-10-11-v1.
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Tutorial · Austin Griffith
Build a Working Ethereum App in 8 Minutes with Scaffold-ETH 2
The official edited transcript follows an owner-only function from local tests to a connected frontend. Start at 01:33–02:59 for the two-address access check, then follow the read and write hooks.
Austin Griffith's profile · @austingriffith · Ethereum developer educator and tooling builder
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Austin Griffith — Build a Working Ethereum App in 8 Minutes with Scaffold-ETH 2. XFollowList reading map 2026-10-11-v1.
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Demonstration · Austin Griffith
Getting Front-Run on Purpose: What the Mempool Really Exposes
Read the edited transcript at 04:12–08:44 to see the reveal flaw and the second-address test. Later passages describe the live result. The deliberately vulnerable contract makes pending-transaction exposure concrete.
Austin Griffith's profile · @austingriffith · Ethereum developer educator and tooling builder
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Austin Griffith — Getting Front-Run on Purpose: What the Mempool Really Exposes. XFollowList reading map 2026-10-11-v1.
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Workshop · Austin Griffith
Intro to Scaffold-ETH 2 and SpeedRunEthereum!
The official Devcon SEA page presents this as a beginner workshop on the contract and frontend toolkit Austin helped build. It links the recording; keep current project setup documentation beside the workshop.
Austin Griffith's profile · @austingriffith · Ethereum developer educator and tooling builder
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Austin Griffith — Intro to Scaffold-ETH 2 and SpeedRunEthereum!. XFollowList reading map 2026-10-11-v1.
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Artist project page · Batz
Batz: Modern Memeism on Opepen
The project's artist page attributes Full Circle and CONSTRAINT to Batz and explains the connection with Opepen's geometry. It links the sets and his earlier series.
Batz's profile · @batzdu · Artist known for geometric Pepe remixes
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Batz — Batz: Modern Memeism on Opepen. XFollowList reading map 2026-10-11-v1.
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Artwork · Batz
GeoMetricPepe #52
Find the eyes and mouth within the coloured rectangular grid. A familiar face remains legible through a much more abstract composition. The gallery gives this as the mint date.
Batz's profile · @batzdu · Artist known for geometric Pepe remixes
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Batz — GeoMetricPepe #52. XFollowList reading map 2026-10-11-v1.
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Artwork · Batz
Pepedenza #2
Compare its curved, separated strips with GeoMetricPepe's rigid grid. Green, black, red and blue shapes carry the figure across a different composition. The recorded date is its mint date.
Batz's profile · @batzdu · Artist known for geometric Pepe remixes
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Batz — Pepedenza #2. XFollowList reading map 2026-10-11-v1.
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Art project · Beeple
Everydays: the daily creative practice
How does an artist build a practice around publishing every day? His introduction explains a project begun on May 1, 2007 and links the archive. Use it as the entry point to the body of work.
Beeple's profile · @beeple · Digital artist
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Beeple — Everydays: the daily creative practice. XFollowList reading map 2026-10-11-v1.
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Studio event · Beeple
Pepe at Beeple Studios
How does an internet meme become an exhibition subject? The studio's event program brings together a multi-artist showcase, discussions of Pepe's origins and live art making.
Beeple's profile · @beeple · Digital artist
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Beeple — Pepe at Beeple Studios. XFollowList reading map 2026-10-11-v1.
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Short film · Beeple
Transparent Machines
What happens when privacy concerns collide with the data people freely upload? Find the 2013 short film on this page for Beeple's animated treatment of that contradiction and his production credits.
Beeple's profile · @beeple · Digital artist
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Beeple — Transparent Machines. XFollowList reading map 2026-10-11-v1.
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FAQ · Billy Markus
Dogecoin questions: Billy Markus's FAQ
Does creating Dogecoin mean controlling it today? His FAQ answers that role question and explains why issuance, mining rewards and a supply cap are connected.
Billy Markus's profile · @BillyM2k · Dogecoin co-creator and internet humor writer
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Billy Markus — Dogecoin questions: Billy Markus's FAQ. XFollowList reading map 2026-10-11-v1.
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Humor · Billy Markus
How to become the most popular social media account in the world!
What does his sense of humor sound like? This very short, deliberately anticlimactic post is an immediate example of the newsletter's deadpan approach to social-media advice.
Billy Markus's profile · @BillyM2k · Dogecoin co-creator and internet humor writer
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Billy Markus — How to become the most popular social media account in the world!. XFollowList reading map 2026-10-11-v1.
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Essay · Blockchain Capital
The Financial Container
Aleks Larsen uses the container analogy to explain a reusable interface for financial assets. Follow the mechanism behind the analogy.
Blockchain Capital's profile · @bcap · Crypto venture firm and research publisher
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Blockchain Capital — The Financial Container. XFollowList reading map 2026-10-11-v1.
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Essay · Blockchain Capital
The Five Risks of Building on a Corpo Chain
Jonah Burian examines distribution, competition and dependence when a corporation runs a chain and customer-facing products.
Blockchain Capital's profile · @bcap · Crypto venture firm and research publisher
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Blockchain Capital — The Five Risks of Building on a Corpo Chain. XFollowList reading map 2026-10-11-v1.
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Interview · Boris Cherny
Claude Code: Anthropic's Agent in Your Terminal
How does a coding agent fit into a developer's tools? Cherny and Cat Wu explain terminal access, project memory, custom commands and code review in this interview, available with a transcript.
Boris Cherny's profile · @bcherny · Claude Code creator at Anthropic
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Boris Cherny — Claude Code: Anthropic's Agent in Your Terminal. XFollowList reading map 2026-10-11-v1.
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Thread · Boris Cherny
How I use Claude Code: my setup
Which parts of an agent workflow are worth making repeatable? Cherny's setup thread covers planning, shared project instructions, reusable commands and verification through tests or a browser.
Boris Cherny's profile · @bcherny · Claude Code creator at Anthropic
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Boris Cherny — How I use Claude Code: my setup. XFollowList reading map 2026-10-11-v1.
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Statement · Brian Jung
Disclosure
How does he describe buying, selling and changing his mind? The page, last updated 8 June 2026, explains scaling into positions and why a sale can reflect sizing or liquidity rather than a new market forecast.
Brian Jung's profile · @thebrianjung · Finance and crypto creator
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Brian Jung — Disclosure. XFollowList reading map 2026-10-11-v1.
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Video · Brian Jung
my exact framework for finding altcoins early (2026)
How does he structure research before forming a thesis? Use the author's chapters: research begins at 2:10 and thesis construction at 14:48. The later chapters cover pattern recognition and AI tools.
Brian Jung's profile · @thebrianjung · Finance and crypto creator
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Brian Jung — my exact framework for finding altcoins early (2026). XFollowList reading map 2026-10-11-v1.
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Essay · Changpeng Zhao (CZ)
CZ on Centralization Vs. Decentralization (2022)
His argument distinguishes several dimensions of decentralization and explains the role he assigns centralized services.
Changpeng Zhao (CZ)'s profile · @cz_binance · Binance founder and Giggle Academy founder
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Changpeng Zhao (CZ) — CZ on Centralization Vs. Decentralization (2022). XFollowList reading map 2026-10-11-v1.
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Essay · Changpeng Zhao (CZ)
CZ's Principles
Start with Decision Making Framework and Communication for specific examples of his stated management approach.
Changpeng Zhao (CZ)'s profile · @cz_binance · Binance founder and Giggle Academy founder
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Changpeng Zhao (CZ) — CZ's Principles. XFollowList reading map 2026-10-11-v1.
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Book excerpt · Chip Huyen
Agents
What must an agent know and be able to do? Huyen explains environments, tools, planning and reflection, then separates tool-choice errors, wrong results and inefficient execution. Adapted from her AI Engineering book.
Chip Huyen's profile · @chipro · Computer scientist and author of AI Engineering
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Chip Huyen — Agents. XFollowList reading map 2026-10-11-v1.
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Platform architecture guide · Chip Huyen
Building A Generative AI Platform
What needs to surround a model API in a running application? Walk from context retrieval to guardrails, routing, caching, logs and traces. Start simple and add components when their value can be measured; API examples describe 2024.
Chip Huyen's profile · @chipro · Computer scientist and author of AI Engineering
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Chip Huyen — Building A Generative AI Platform. XFollowList reading map 2026-10-11-v1.
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Engineering guide · Chip Huyen
Building LLM applications for production
How do you evaluate and maintain an LLM application? Follow prompt test sets, versioning, cost and latency tradeoffs, then tests for composed tasks. API details and numerical examples are historical.
Chip Huyen's profile · @chipro · Computer scientist and author of AI Engineering
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Chip Huyen — Building LLM applications for production. XFollowList reading map 2026-10-11-v1.
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Research paper · Chris Olah
On the Biology of a Large Language Model
Coauthored study of Claude 3.5 Haiku. Follow an introductory attribution graph, then the hallucination or refusal case study and its interventions. The authors explain which mechanisms the method misses.
Chris Olah's profile · @ch402 · Anthropic co-founder and interpretability researcher
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Chris Olah — On the Biology of a Large Language Model. XFollowList reading map 2026-10-11-v1.
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Research explainer · Chris Olah
Zoom In: An Introduction to Circuits
Coauthored visual introduction. Begin with curve detectors and their connections to understand features and circuits; the examples concern a vision model, while broader claims are explicitly speculative.
Chris Olah's profile · @ch402 · Anthropic co-founder and interpretability researcher
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Chris Olah — Zoom In: An Introduction to Circuits. XFollowList reading map 2026-10-11-v1.
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Market essay · Cobie
New launches, part 1: private capture, phantom pricing
What can a launch valuation hide? The essay distinguishes private-market ownership from tradable supply, giving you concrete questions about entry prices, locked tokens and the quoted market price.
Cobie's profile · @cobie · Market writer, Base app lead and Paradigm adviser
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Cobie — New launches, part 1: private capture, phantom pricing. XFollowList reading map 2026-10-11-v1.
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Essay · Cobie
Probabilistic thinking
How can you discuss uncertainty without reducing a view to one prediction? His worked scenarios show how considering several outcomes changes the way you reason about a market thesis.
Cobie's profile · @cobie · Market writer, Base app lead and Paradigm adviser
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Cobie — Probabilistic thinking. XFollowList reading map 2026-10-11-v1.
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Essay · Cobie
Tokens in the attention economy
Why does attention matter when assets compete for the same audience? This essay connects finite human attention, social signals and the growing range of tokens and NFTs.
Cobie's profile · @cobie · Market writer, Base app lead and Paradigm adviser
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Cobie — Tokens in the attention economy. XFollowList reading map 2026-10-11-v1.
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Onchain research thread · Cyclop
A historical wallet-research case study
A dated example of tracing a selected wallet with Zerion and Bubblemaps. Focus on the research steps; the reported gains are not independently established by this profile.
Cyclop's profile · @nobrainflip · Crypto writer on token liquidity and onchain trade research
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Cyclop — A historical wallet-research case study. XFollowList reading map 2026-10-11-v1.
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Explainer thread · Cyclop
Market capitalization, FDV and liquidity
Follow the progression from circulating supply to trading liquidity. The numerical examples illustrate the distinction and should not be used as an execution calculator.
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Cyclop — Market capitalization, FDV and liquidity. XFollowList reading map 2026-10-11-v1.
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Case study · Dan Guido
Mitigating ELUSIVE COMET Zoom remote control attacks
Start with the fake media invitation and the remote-control permission request, then read the layered controls. The device-management examples address macOS and a specific attack route.
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Dan Guido — Mitigating ELUSIVE COMET Zoom remote control attacks. XFollowList reading map 2026-10-11-v1.
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Analysis · Dan Guido
The $1.5B Bybit Hack: The Era of Operational Security Failures Has Arrived
Coauthored with Benjamin Samuels and Anish Naik. Read the sections on segmentation, layered controls and preparedness; the same-day account contains preliminary assumptions about the attack.
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Dan Guido — The $1.5B Bybit Hack: The Era of Operational Security Failures Has Arrived. XFollowList reading map 2026-10-11-v1.
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Coauthored case study · Dan Robinson
Ethereum is a Dark Forest
What can happen to a publicly visible transaction? Robinson and Georgios Konstantopoulos describe a token-rescue attempt and the bots watching for profitable opportunities in the mempool.
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Dan Robinson — Ethereum is a Dark Forest. XFollowList reading map 2026-10-11-v1.
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Coauthored research project · Dan Robinson
Project Kryptos
How can a system verify a secret answer while keeping it secret? Robinson and Matt Huang explain a puzzle-verification project that connects one-way functions and protected keys to a concrete application.
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Dan Robinson — Project Kryptos. XFollowList reading map 2026-10-11-v1.
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Protocol research · Dan Robinson
Uniswap v3: The Universal AMM
How can price ranges reproduce different market-making curves? Start with the visual examples, then follow the mathematical explanation of how Uniswap v3 positions can approximate other two-asset designs.
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Dan Robinson — Uniswap v3: The Universal AMM. XFollowList reading map 2026-10-11-v1.
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Specification · Dankrad Feist
EIP-4844: Shard Blob Transactions
A coauthored proposal, created on this date. Read the abstract and rollup rationale for why blobs have a separate fee market and their contents are not available to EVM execution.
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Dankrad Feist — EIP-4844: Shard Blob Transactions. XFollowList reading map 2026-10-11-v1.
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Essay · Dankrad Feist
What's the core functionality of blockchains
Begin with the Alice-to-Bob example and the distinction between data availability and execution. The essay then separates bugs in present rules from changes to future rules; its later sections remain outline notes.
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Dankrad Feist — What's the core functionality of blockchains. XFollowList reading map 2026-10-11-v1.
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Post · Darkfarms
BOOK OF MEME presale announcement
A historical primary source for the BOME launch: the visible post text describes a 24-hour SOL contribution window and allocation by contribution share. It makes the artist's fundraising role explicit.
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Darkfarms — BOOK OF MEME presale announcement. XFollowList reading map 2026-10-11-v1.
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Artwork · Darkfarms
ITSACASINO
Look at the white handwritten warning over the dense meme collage. Research language and financial disclaimers become the subject of the artwork. The gallery records this as its mint date.
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Darkfarms — ITSACASINO. XFollowList reading map 2026-10-11-v1.
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Market commentary · DCF GOD
An ETHFI buyback thesis with a position disclosure
His own post identifies which buybacks enter his estimate and discloses that dcf cap holds ETHFI.
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DCF GOD — An ETHFI buyback thesis with a position disclosure. XFollowList reading map 2026-10-11-v1.
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Market commentary · DCF GOD
Comparing a token valuation with web-data companies
His GRASS argument combines company valuations with a project-supplied benchmark. Check the comparison and his disclosed position.
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DCF GOD — Comparing a token valuation with web-data companies. XFollowList reading map 2026-10-11-v1.
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Research report · Dragonfly
Dragonfly's State of Airdrops Report 2025
A team report. Start with Methodology to see the claim-event data, eligibility documents and limits of the geographic estimates.
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Dragonfly — Dragonfly's State of Airdrops Report 2025. XFollowList reading map 2026-10-11-v1.
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Guide · Dragonfly
The Comprehensive Guide to Token Compensation
Zackary Skelly compares grant structures and their tradeoffs. Begin with the market-value, annual-grant and supply-percentage sections.
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Dragonfly — The Comprehensive Guide to Token Compensation. XFollowList reading map 2026-10-11-v1.
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Project explanation · Ethereum Name Service (ENS)
ENS and GLEIF Explore Verifiable Organizational Identity Onchain
What would connect a name to a legal organization? ENS Labs explains a proposed association with vLEIs and identifies the standardization work still to come.
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Ethereum Name Service (ENS) — ENS and GLEIF Explore Verifiable Organizational Identity Onchain. XFollowList reading map 2026-10-11-v1.
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Technical guide · Ethereum Name Service (ENS)
Exploring Subnames in ENSv2
Who can edit, transfer or delegate a subname? Start with the resolver/registry distinction, then compare the examples and the administrative roles an operator retains.
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Ethereum Name Service (ENS) — Exploring Subnames in ENSv2. XFollowList reading map 2026-10-11-v1.
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Project walkthrough · Eugene Yan
AlignEval: Building an App to Make Evals Easy, Fun, and Automated
What does evaluator calibration look like in an interface? Follow CSV import, pass/fail labeling, judge metrics and development/test splits. The post explains overfitting with small samples and links the app’s code.
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Eugene Yan — AlignEval: Building an App to Make Evals Easy, Fun, and Automated. XFollowList reading map 2026-10-11-v1.
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Evaluation guide · Eugene Yan
Product Evals in Three Simple Steps
What should you measure before changing a model or prompt? Label real outputs, align a judge per criterion and run the experiment/evaluation harness. The discussion includes position bias and uncertainty from limited samples.
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Eugene Yan — Product Evals in Three Simple Steps. XFollowList reading map 2026-10-11-v1.
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Founder Q&A · Frank DeGods
bozo: a Q&A on DeGods, y00ts and Dust Labs
What does an NFT founder actually have to build? Start with the sections on art iterations, product announcements and distributing responsibility. His linked archive preserves the original 2022 Q&A.
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Frank DeGods — bozo: a Q&A on DeGods, y00ts and Dust Labs. XFollowList reading map 2026-10-11-v1.
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Founder statement · Frank DeGods
Leaving the DeGods CEO role
What happens when a community's best-known founder steps back? His own announcement names the incoming leadership and supplies the later chapter to the Q&A's discussion of founder dependence.
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Frank DeGods — Leaving the DeGods CEO role. XFollowList reading map 2026-10-11-v1.
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Research report · François Chollet
ARC Prize 2024: Technical Report
Coauthored report. Sections 1 and 2 explain the puzzle and testing conditions; section 3 compares program search with adapting a model at test time. Results describe the 2024 competition.
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François Chollet — ARC Prize 2024: Technical Report. XFollowList reading map 2026-10-11-v1.
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Research paper · François Chollet
On the Measure of Intelligence
His own paper introducing ARC and a proposed definition of intelligence. Start with section III.1's grid example, then the distinction between acquired skill and learning a new task.
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François Chollet — On the Measure of Intelligence. XFollowList reading map 2026-10-11-v1.
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Essay · Geoffrey Huntley
an application in lisp you grow by talking to it
Can an app grow while it is running? Huntley demonstrates Jiti, where conversation adds Lisp functions and later requests can inspect, compose or execute them. The article links the implementation and explains its controller and persistent worker.
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Geoffrey Huntley — an application in lisp you grow by talking to it. XFollowList reading map 2026-10-11-v1.
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Guide · Geoffrey Huntley
Ralph Wiggum as a "software engineer"
How do repeated agent attempts become a workflow? Huntley explains specifications, one task per loop and feedback from builds or tests through his compiler experiment.
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Geoffrey Huntley — Ralph Wiggum as a "software engineer". XFollowList reading map 2026-10-11-v1.
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Software project · Georgi Gerganov
llama.cpp
How do you run a downloaded language model? The Quickstart connects installation, model loading and a local chat or server. Read the supported backends before choosing a build for your device.
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Georgi Gerganov — llama.cpp. XFollowList reading map 2026-10-11-v1.
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Software project · Georgi Gerganov
whisper.cpp
How can you transcribe audio on your own machine? This port of OpenAI Whisper provides model downloads, a memory table and a transcription walkthrough. Check the expected audio format before using the example.
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Georgi Gerganov — whisper.cpp. XFollowList reading map 2026-10-11-v1.
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Technical article · Georgios Konstantopoulos
Announcing: Foundry v1.0
A coauthored overview of testing and debugging. Start with invariant testing and shrinking a failing sequence, then tracing and state diffs. Follow the project's documentation for the release you use.
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Georgios Konstantopoulos — Announcing: Foundry v1.0. XFollowList reading map 2026-10-11-v1.
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Technical article · Georgios Konstantopoulos
Introducing Alloy v1.0: The simplest, fastest Rust toolkit for the EVM
A coauthored explanation of Rust contract bindings and RPC providers. The examples show which plumbing Alloy handles; the migration guide gives the version-specific changes.
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Georgios Konstantopoulos — Introducing Alloy v1.0: The simplest, fastest Rust toolkit for the EVM. XFollowList reading map 2026-10-11-v1.
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Coauthored project guide · Hamel Husain
Evals Skills for Coding Agents
How do you make evaluation work repeatable with a coding agent? This guide, coauthored with Shreya Shankar, routes from trace review to error discovery, checks and evaluator validation. Tune the instructions to your own data.
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Hamel Husain — Evals Skills for Coding Agents. XFollowList reading map 2026-10-11-v1.
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Evaluation guide · Hamel Husain
Using LLM-as-a-Judge For Evaluation: A Complete Guide
How can you trust an automated evaluator? Start with a domain expert’s labeled examples and critiques, then separate prompt development from a held-out test and measure errors in both classes. The page was updated September 1, 2026.
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Hamel Husain — Using LLM-as-a-Judge For Evaluation: A Complete Guide. XFollowList reading map 2026-10-11-v1.
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Engineering case study · Hamel Husain
Your AI Product Needs Evals
How do you improve an AI product beyond its demo? Follow the real-estate assistant case study through assertions, readable traces, human/model review and product experiments. Each evaluation layer answers a different question.
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Hamel Husain — Your AI Product Needs Evals. XFollowList reading map 2026-10-11-v1.
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Essay · Harrison Chase
Agent Frameworks, Runtimes, and Harnesses- oh my!
Which part of an agent stack are you choosing? Chase distinguishes model-facing abstractions, execution infrastructure and a ready-made harness, while acknowledging that the boundaries overlap.
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Harrison Chase — Agent Frameworks, Runtimes, and Harnesses- oh my!. XFollowList reading map 2026-10-11-v1.
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Essay · Harrison Chase
How and when to build multi-agent systems
When should several agents share a task? Chase compares read-heavy research with coordinated writes, then explains context handoffs, resuming execution and tracing failures. His examples include quoted accounts from other teams.
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Harrison Chase — How and when to build multi-agent systems. XFollowList reading map 2026-10-11-v1.
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Research · HashKey Capital
Agentic Commerce — Where Are We?
Where do blockchain payments fit in an AI shopping workflow? Follow the three-layer map and compare authorization with settlement. Treat the market-sizing section as the firm's outlook.
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HashKey Capital — Agentic Commerce — Where Are We?. XFollowList reading map 2026-10-11-v1.
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Report · HashKey Capital
DAT Report, Volume 1: Background and Introduction
What distinguishes a crypto treasury company from an ETF? Begin with the business-model definition, then follow the financing and valuation discussion. The publication date is listed in HashKey's research index.
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HashKey Capital — DAT Report, Volume 1: Background and Introduction. XFollowList reading map 2026-10-11-v1.
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Paper · Illia Polosukhin
Attention Is All You Need
What was the Transformer proposal? This coauthored research paper introduces an architecture based on attention instead of recurrence or convolution. It is a technical paper for readers with machine-learning background.
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Illia Polosukhin — Attention Is All You Need. XFollowList reading map 2026-10-11-v1.
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Paper · Illia Polosukhin
Neural Program Search: Solving Programming Tasks from Description and Examples
Can descriptions and input/output examples guide program generation? Coauthored with Alexander Skidanov, this paper combines a learned model, a domain-specific language and program search.
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Illia Polosukhin — Neural Program Search: Solving Programming Tasks from Description and Examples. XFollowList reading map 2026-10-11-v1.
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Post · Illia Polosukhin
Permissionless programmable money and application policies
Does a permissionless network require every application to process every transaction? His opening distinction explains how network access and a provider's transaction policy are separate questions.
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Illia Polosukhin — Permissionless programmable money and application policies. XFollowList reading map 2026-10-11-v1.
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Project guide · Jack Butcher
Checks: editions, originals and onchain artwork
What can a collector change, and what becomes permanent? The project documentation explains migration, burning and SVG rendering, connecting the visual concept to the artwork's actual mechanics.
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Jack Butcher — Checks: editions, originals and onchain artwork. XFollowList reading map 2026-10-11-v1.
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Artist essay · Jack Butcher
Checks: the introduction
Who gets to decide that an image or account is notable? The introduction starts with the checkmark and develops the project's questions about verification, authorship and the freedom to reinterpret a symbol.
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Jack Butcher — Checks: the introduction. XFollowList reading map 2026-10-11-v1.
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Art protocol · Jack Butcher
Opepen Edition
How can a single silhouette become a collaborative art project? The overview explains reinterpretation by different artists and collector selection of permanent sets.
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Jack Butcher — Opepen Edition. XFollowList reading map 2026-10-11-v1.
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Practical guide · Jameson Lopp
How to Back Up a Seed Phrase
What must a wallet recovery plan survive? Start with the threat model, then the recovery test and the wallet metadata section. These connect the backup medium to whether you can actually regain access.
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Jameson Lopp — How to Back Up a Seed Phrase. XFollowList reading map 2026-10-11-v1.
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Research index · Jameson Lopp
Metal Bitcoin Seed Storage Reviews
How do different designs compare? The review index links the test reports and organizes their results, making it easier to inspect the evidence behind a grade.
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Jameson Lopp — Metal Bitcoin Seed Storage Reviews. XFollowList reading map 2026-10-11-v1.
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Product research · Jameson Lopp
Metal Bitcoin Seed Storage Stress Test
What does a durability claim look like when tested? His original report documents heat, corrosion and crushing tests, with photographs and product-specific outcomes.
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Jameson Lopp — Metal Bitcoin Seed Storage Stress Test. XFollowList reading map 2026-10-11-v1.
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Engineering essay · Jason Liu
Beyond Chunks: Why Context Engineering is the Future of RAG
What should a search response tell a model? Compare raw chunks with source metadata, complete pages, tables and facets. His progression gives you candidate designs to evaluate, rather than a guarantee of better results.
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Jason Liu — Beyond Chunks: Why Context Engineering is the Future of RAG. XFollowList reading map 2026-10-11-v1.
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Engineering guide · Jason Liu
Systematically Improving Your RAG
How do you improve retrieval with evidence? Build a baseline, test full-text and vector search, add useful metadata and collect feedback that names the problem. The reported client measurements describe his examples.
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Jason Liu — Systematically Improving Your RAG. XFollowList reading map 2026-10-11-v1.
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Research paper · Jason Wei
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Coauthored research. Figure 1 shows the prompt change on a math problem; sections 3.3 and 6 test explanations and spell out why generated steps can still be wrong.
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Jason Wei — Chain-of-Thought Prompting Elicits Reasoning in Large Language Models. XFollowList reading map 2026-10-11-v1.
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Research paper · Jason Wei
Measuring short-form factuality in large language models
Coauthored research introducing SimpleQA. Start with the grading examples: refusing to answer and confidently supplying a wrong fact have different consequences for the score.
Jason Wei's profile · @_jasonwei · AI researcher at Meta Superintelligence Labs
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Jason Wei — Measuring short-form factuality in large language models. XFollowList reading map 2026-10-11-v1.
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Post · Jeremy Allaire
Arc and an open economic layer for the internet
Why does Circle want Arc? His launch post describes the company's vision for money, contracts and machines and links to the network's longer explanation.
Jeremy Allaire's profile · @jerallaire · Circle co-founder, CEO and chairman
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Jeremy Allaire — Arc and an open economic layer for the internet. XFollowList reading map 2026-10-11-v1.
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Essay · Jeremy Allaire
Greater Transparency for USDC Reserves
What did Circle choose to reveal about backing assets? His historical essay introduces a reserve-composition breakdown and explains the company's case for transparency and oversight.
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Jeremy Allaire — Greater Transparency for USDC Reserves. XFollowList reading map 2026-10-11-v1.
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Testimony · Jeremy Allaire
Prepared remarks on payment stablecoins
What is his argument for stablecoin regulation? Circle published these prepared remarks ahead of his 13 June Congressional appearance, setting out his view of digital dollars and regulatory oversight.
Jeremy Allaire's profile · @jerallaire · Circle co-founder, CEO and chairman
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Jeremy Allaire — Prepared remarks on payment stablecoins. XFollowList reading map 2026-10-11-v1.
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Architecture guide · Jerry Liu
Beyond chatbots: adopting Agentic Document Workflows for enterprises
How does a document become an action in another system? Follow parsing, retrieval, reasoning and typed action connectors through a contract-risk example, including human review at handoffs.
Jerry Liu's profile · @jerryjliu0 · LlamaIndex cofounder
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Jerry Liu — Beyond chatbots: adopting Agentic Document Workflows for enterprises. XFollowList reading map 2026-10-11-v1.
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Tutorial · Jerry Liu
Introducing Llama Datasets
How do you compare retrieval changes on your own data? Coauthored with Andrei Fajardo, this walkthrough keeps documents, questions, reference answers and predictions together. The original code reflects the library version at publication.
Jerry Liu's profile · @jerryjliu0 · LlamaIndex cofounder
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Jerry Liu — Introducing Llama Datasets. XFollowList reading map 2026-10-11-v1.
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Post · Jesse Pollak
Base reaches Stage 1 decentralization
How does a network leader communicate a milestone? His own contribution is the short Stage 1 statement; open the quoted Base announcement for the team's supporting explanation.
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Jesse Pollak — Base reaches Stage 1 decentralization. XFollowList reading map 2026-10-11-v1.
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Post · Jesse Pollak
Cobalt upgrade: validity transactions and B20 enhancements
What does an upgrade change for users and builders? He connects validity transactions to control over execution timing and B20 enhancements to issuing and managing assets on Base.
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Jesse Pollak — Cobalt upgrade: validity transactions and B20 enhancements. XFollowList reading map 2026-10-11-v1.
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Attack report · Johann Rehberger
AI ClickFix: Hijacking Computer-Use Agents Using ClickFix
How can a webpage redirect a computer-use agent? His proof of concept follows a browser interaction into terminal execution, then discusses isolation, network boundaries and sensitive information inside the host.
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Johann Rehberger — AI ClickFix: Hijacking Computer-Use Agents Using ClickFix. XFollowList reading map 2026-10-11-v1.
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Attack report · Johann Rehberger
Windsurf MCP Integration: Missing Security Controls Put Users at Risk
How can an agent leak a private message through its tools? His tested source-code-comment attack links private Slack access to a public write. Continue to the recommendations for configuring each tool.
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Johann Rehberger — Windsurf MCP Integration: Missing Security Controls Put Users at Risk. XFollowList reading map 2026-10-11-v1.
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Research · Jump Crypto
PropAMMs and the Next Chapter of Permissionless Market Structure
How does active market making operate inside an onchain program? Maher Latif and Daniel Gerhardstein explain oracle updates, inventory and execution, including their own BisonFi example.
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Jump Crypto — PropAMMs and the Next Chapter of Permissionless Market Structure. XFollowList reading map 2026-10-11-v1.
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Research · Jump Crypto
Quantum Migration Paths for Solana
Why can consensus and wallets need different migration paths? David Rubin, Emanuele Cesena and Maher Latif compare signature constraints and propose a route for existing wallets.
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Jump Crypto — Quantum Migration Paths for Solana. XFollowList reading map 2026-10-11-v1.
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Explainer · Kai Greshake
How We Broke LLMs: Indirect Prompt Injection
Where does the attacker’s instruction enter? His introduction follows content retrieved by an application into changes to the model’s behavior. Read it before the taxonomy in the coauthored paper.
Kai Greshake's profile · @KGreshake · AI security researcher at NVIDIA
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Kai Greshake — How We Broke LLMs: Indirect Prompt Injection. XFollowList reading map 2026-10-11-v1.
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Research paper · Kai Greshake
Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection
Coauthored study of instructions embedded in retrieved data, including theft, persistence and manipulation of connected applications. The original submission date is separate from the revised title and May 2023 version.
Kai Greshake's profile · @KGreshake · AI security researcher at NVIDIA
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Kai Greshake — Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection. XFollowList reading map 2026-10-11-v1.
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Design essay · Kai Greshake
Prompt Injection Defenses Should Suck Less
What can the application restrict after it reads untrusted content? His essay proposes tracking trust and gating actions, while discussing the cost and usefulness tradeoffs of separating model contexts.
Kai Greshake's profile · @KGreshake · AI security researcher at NVIDIA
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Kai Greshake — Prompt Injection Defenses Should Suck Less. XFollowList reading map 2026-10-11-v1.
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Technical explanation · Lido
Cross-Chain Security Principles: Why Lido’s Network Expansion Committee Chose Chainlink CCIP
Which properties does Lido prioritize for moving wstETH across networks? Follow the contributors' comparison of verification, operational safeguards and control over contracts.
Lido's profile · @LidoFinance · DAO-governed Ethereum liquid staking protocol
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Lido — Cross-Chain Security Principles: Why Lido’s Network Expansion Committee Chose Chainlink CCIP. XFollowList reading map 2026-10-11-v1.
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Protocol overview · Lido
LDO Automated Buybacks: Overview
What makes buybacks run or pause? Read the cumulative-surplus rule and spending caps, then open the linked LIP-36 proposal and governance votes.
Lido's profile · @LidoFinance · DAO-governed Ethereum liquid staking protocol
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Lido — LDO Automated Buybacks: Overview. XFollowList reading map 2026-10-11-v1.
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Research review · Lilian Weng
Adversarial Attacks on LLMs
Her survey organizes inference-time attacks by attacker access and method, including jailbreak prompting and red-teaming. Begin with Threat Model and the method table; training-data extraction and poisoning are outside this article’s scope.
Lilian Weng's profile · @lilianweng · Machine learning researcher; author of Lil’Log
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Lilian Weng — Adversarial Attacks on LLMs. XFollowList reading map 2026-10-11-v1.
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Research review · Lilian Weng
Harness Engineering for Self-Improvement
What should stay outside an agent’s self-improvement loop? Weng’s research review connects tools, persistent state and workflow design to independent evaluators and permission controls. Begin with the design patterns and Future Challenges.
Lilian Weng's profile · @lilianweng · Machine learning researcher; author of Lil’Log
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Lilian Weng — Harness Engineering for Self-Improvement. XFollowList reading map 2026-10-11-v1.
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Research review · Lilian Weng
Reward Hacking in Reinforcement Learning
What if a model improves the score by changing the test? Weng surveys reward hacking, evaluator biases and proposed mitigations. Begin with the LLM examples, then follow the distinction between the real goal and its measured proxy.
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Lilian Weng — Reward Hacking in Reinforcement Learning. XFollowList reading map 2026-10-11-v1.
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Research review · Lilian Weng
Why We Think
When does more thinking time help? Weng reviews sampling, revision, reinforcement learning and checks of chain-of-thought faithfulness. The comparisons distinguish a correct answer from an explanation that faithfully describes how it was reached.
Lilian Weng's profile · @lilianweng · Machine learning researcher; author of Lil’Log
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Lilian Weng — Why We Think. XFollowList reading map 2026-10-11-v1.
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Analysis · Luna Tong (cts)
Choosing an Audit Competition: How to Spot Snake Oil
Read the questions about unique findings, valid participants and matching audit scope. The opening discloses Zellic's acquisition of Code4rena, giving context for the author's commercial perspective.
Luna Tong (cts)'s profile · @gf_256 · Security researcher; Zellic co-founder and CEO
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Luna Tong (cts) — Choosing an Audit Competition: How to Spot Snake Oil. XFollowList reading map 2026-10-11-v1.
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Guide · Luna Tong (cts)
The Auditooor Grindset
Start with the four types of contract problems and the report-writing section. A route for experienced vulnerability researchers into Solidity and DeFi, with historical career and market commentary.
Luna Tong (cts)'s profile · @gf_256 · Security researcher; Zellic co-founder and CEO
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Luna Tong (cts) — The Auditooor Grindset. XFollowList reading map 2026-10-11-v1.
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Interview · Machi Big Brother
Digital Art Movement: Machi's written Q&A
How would a shared NFT collection work? His answers cover displaying art in galleries, the link between profile pictures and identity, and the proposed relationship between lock duration and token distribution.
Machi Big Brother's profile · @machibigbrother · NFT collector and crypto project founder
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Machi Big Brother — Digital Art Movement: Machi's written Q&A. XFollowList reading map 2026-10-11-v1.
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Whitepaper · Machi Big Brother
Mithril whitepaper: the founder's foreword
Who should receive the value created on a social network? Jeffrey Huang signs the foreword as MachiBigBrother and Mithril founder. Follow it with the social-mining example to see how the proposal connects activity to rewards.
Machi Big Brother's profile · @machibigbrother · NFT collector and crypto project founder
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Machi Big Brother — Mithril whitepaper: the founder's foreword. XFollowList reading map 2026-10-11-v1.
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Technical documentation · Mantle
Mantle Network Architecture
The project's Skadi architecture page follows transaction processing, data publication and proof submission. Check the upgrade context when reading.
Mantle's profile · @Mantle_Official · Onchain financial network and Ethereum scaling project
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Mantle — Mantle Network Architecture. XFollowList reading map 2026-10-11-v1.
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Protocol documentation · Mantle
mETH Protocol Overview
Compare the mETH and cmETH product tables, then read their redemption mechanisms and different risk exposures.
Mantle's profile · @Mantle_Official · Onchain financial network and Ethereum scaling project
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Mantle — mETH Protocol Overview. XFollowList reading map 2026-10-11-v1.
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Practical experiments · Max Woolf
Nano Banana can be prompt engineered for extremely nuanced AI image generation
How do you express and check a complex visual request? Woolf compares detailed prompts with actual images, showing targeted edits, positional ambiguity and missed constraints. Begin with the first editing example.
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Max Woolf — Nano Banana can be prompt engineered for extremely nuanced AI image generation. XFollowList reading map 2026-10-11-v1.
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Practical experiments · Max Woolf
Nano Banana Pro is the best AI image generator, with caveats
What improves and what still fails in his follow-up tests? Read the typography, grid and system-prompt sections alongside the incorrect infographic examples. The title states his assessment of the model at publication.
Max Woolf's profile · @minimaxir · AI developer and writer
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Max Woolf — Nano Banana Pro is the best AI image generator, with caveats. XFollowList reading map 2026-10-11-v1.
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Incident report · Mudit Gupta
A peek inside the MISO war room – $350m incident response story
Begin with The Bug and The learnings, then follow the response options. The repeated msg.value example makes the danger of composing otherwise reasonable components concrete.
Mudit Gupta's profile · @Mudit__Gupta · Smart-contract security researcher and developer
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Mudit Gupta — A peek inside the MISO war room – $350m incident response story. XFollowList reading map 2026-10-11-v1.
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Guide · Mudit Gupta
Live Stream #1 – Auditing Smart Contracts: written notes
The Auditing Approach section is a readable sequence for mapping actors, value-moving calls, tools and tests. These are written preparation notes; the stream's brief examples are educational reviews.
Mudit Gupta's profile · @Mudit__Gupta · Smart-contract security researcher and developer
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Mudit Gupta — Live Stream #1 – Auditing Smart Contracts: written notes. XFollowList reading map 2026-10-11-v1.
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Project introduction · Murad Mahmudov
Introducing STFX and single-trade funds
How could a public trading idea become a focused fund? His seven-post introduction explains the proposed one-vault, one-trade model and the community's role. It supplies an earlier example of his SocialFi work.
Murad Mahmudov's profile · @MustStopMurad · Crypto investor and memecoin thesis writer
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Murad Mahmudov — Introducing STFX and single-trade funds. XFollowList reading map 2026-10-11-v1.
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Interview · Murad Mahmudov
The Extended Cycle Thesis Explained
How does he connect markets with community culture? The publisher marks the extended-cycle argument at 03:17, SPX6900's no-chart-posting rule at 29:10 and a counterargument to the supercycle at 42:37.
Murad Mahmudov's profile · @MustStopMurad · Crypto investor and memecoin thesis writer
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Murad Mahmudov — The Extended Cycle Thesis Explained. XFollowList reading map 2026-10-11-v1.
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Market thesis · Murad Mahmudov
Why Cult Memecoins Will Continue to Outperform
What historical comparison supports his thesis? Follow the thread's selected examples from earlier cycles, then its argument about the stages of a memecoin cycle. It records his reasoning at that point in time.
Murad Mahmudov's profile · @MustStopMurad · Crypto investor and memecoin thesis writer
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Murad Mahmudov — Why Cult Memecoins Will Continue to Outperform. XFollowList reading map 2026-10-11-v1.
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Book chapter · Nathan Lambert
RLHF Book: Training Overview
What changes after pretraining? The chapter maps the main training stages. Begin with the recipe explanations; the equations can wait until the distinctions are clear.
Nathan Lambert's profile · @natolambert · Post-training researcher; co-founder and executive director of Trillium Labs
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Nathan Lambert — RLHF Book: Training Overview. XFollowList reading map 2026-10-11-v1.
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Research paper · Nathan Lambert
Tülu 3: Pushing Frontiers in Open Language Model Post-Training
Coauthored research. Sections 2 and 6 connect a complete training recipe to rewards that check an answer. The separate development and unseen tests help assess whether improvements transfer.
Nathan Lambert's profile · @natolambert · Post-training researcher; co-founder and executive director of Trillium Labs
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Nathan Lambert — Tülu 3: Pushing Frontiers in Open Language Model Post-Training. XFollowList reading map 2026-10-11-v1.
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Explainer · Neel Nanda
A Comprehensive Mechanistic Interpretability Explainer & Glossary
What counts as a model feature or circuit? His explainer introduces the vocabulary and gives an intervention a concrete meaning: change an internal activation and continue the model run.
Neel Nanda's profile · @NeelNanda5 · Google DeepMind mechanistic interpretability team lead
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Neel Nanda — A Comprehensive Mechanistic Interpretability Explainer & Glossary. XFollowList reading map 2026-10-11-v1.
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Technical explainer · Neel Nanda
Attribution Patching: Activation Patching At Industrial Scale
How do you test which internal component affects an answer? His method explanation compares activation patching with a faster gradient approximation and describes cases where that approximation is unreliable.
Neel Nanda's profile · @NeelNanda5 · Google DeepMind mechanistic interpretability team lead
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Neel Nanda — Attribution Patching: Activation Patching At Industrial Scale. XFollowList reading map 2026-10-11-v1.
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Investigation · Nick Bax
Anatomy of a Bitcoin Heist: The Electrum Atom Malware Saga
Follow the change from malware addresses to exchange records and corroborating documents. It explains evidence presented in an ongoing case as of publication, including disputed allegations.
Nick Bax's profile · @bax1337 · Crypto forensics researcher
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Nick Bax — Anatomy of a Bitcoin Heist: The Electrum Atom Malware Saga. XFollowList reading map 2026-10-11-v1.
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Research repository · Nick Bax
WannaCry Monero tracing: data and Menelaus proof of concept
Read the dataset descriptions before menelausXMR0.3.py. The README states that the ShapeShift leak was fixed in 2021 and the method no longer works as it did then.
Nick Bax's profile · @bax1337 · Crypto forensics researcher
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Nick Bax — WannaCry Monero tracing: data and Menelaus proof of concept. XFollowList reading map 2026-10-11-v1.
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Research paper · Noam Brown
Combining Deep Reinforcement Learning and Search for Imperfect-Information Games
Coauthored research introducing ReBeL. The opening game example explains why hidden information changes search. Section 9 confines the guarantees to two-player zero-sum games, rather than general language-model reasoning.
Noam Brown's profile · @polynoamial · Research scientist at OpenAI
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Noam Brown — Combining Deep Reinforcement Learning and Search for Imperfect-Information Games. XFollowList reading map 2026-10-11-v1.
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Research paper · Noam Brown
Human-level play in the game of Diplomacy by combining language models with strategic reasoning
Team research, with Brown as a corresponding author. Begin with the CICERO overview and Figure 1: the planner supplies intents, and the language model turns them into negotiable messages.
Noam Brown's profile · @polynoamial · Research scientist at OpenAI
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Noam Brown — Human-level play in the game of Diplomacy by combining language models with strategic reasoning. XFollowList reading map 2026-10-11-v1.
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Interview transcript · Noam Brown
Noam Brown on parallel agents and reasoning
Original interview with a written transcript. In the opening discussion, Brown explains the need for smaller agent-count comparisons. No mathematical background is needed for that passage.
Noam Brown's profile · @polynoamial · Research scientist at OpenAI
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Noam Brown — Noam Brown on parallel agents and reasoning. XFollowList reading map 2026-10-11-v1.
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Workflow note · Orangie
A creator’s approach to scam-comment moderation
He describes requesting and using a comment-removal tool for his finance audience. The concrete workflow is the point; the deletion count is his own reported figure.
Orangie's profile · @orangie · Crypto content creator and trading commentator
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Orangie — A creator’s approach to scam-comment moderation. XFollowList reading map 2026-10-11-v1.
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Creator commentary · Orangie
Reflecting on a Solana trading event
His own reflection separates enjoyment of the event from doubts about the short, high-leverage format. Useful for understanding how trading becomes entertainment.
Orangie's profile · @orangie · Crypto content creator and trading commentator
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Orangie — Reflecting on a Solana trading event. XFollowList reading map 2026-10-11-v1.
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Guide · Pablo Sabbatella
Most common mistakes when configuring password managers
Begin with privileged owner accounts, vault access and employee offboarding. The article uses 1Password examples to explain a team's access policy and explicitly presents a partial checklist.
Pablo Sabbatella's profile · @PabloSabbatella · Operational security researcher; Opsek founder
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Pablo Sabbatella — Most common mistakes when configuring password managers. XFollowList reading map 2026-10-11-v1.
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Talk record · Pablo Sabbatella
OpSec for the Dark Forest (or how to avoid getting rekt)
Official record for a nine-minute, intermediate-level Devcon 7 talk from November 2024. Its session description lists devices, email, social accounts and 2FA. The articles above provide a written starting point.
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Pablo Sabbatella — OpSec for the Dark Forest (or how to avoid getting rekt). XFollowList reading map 2026-10-11-v1.
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Article · Pablo Sabbatella
OSs Security: a free toolkit for hardening your devices
A short introduction to the project's separate hardening scripts and factory-reset guides for Linux, macOS and Windows. Read the purpose and intended users before opening the OS-specific documentation.
Pablo Sabbatella's profile · @PabloSabbatella · Operational security researcher; Opsek founder
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Pablo Sabbatella — OSs Security: a free toolkit for hardening your devices. XFollowList reading map 2026-10-11-v1.
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Research note · ParaFi
Non-USD Stablecoin Supply Grew ~5x in the Last Two Years
What can supply, trading and transfer data each tell you? Leah Valente's note separates the periods and coverage, and discloses the firm's Circle investment interest.
ParaFi's profile · @ParaFiCapital · Investment firm researching digital asset markets
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ParaFi — Non-USD Stablecoin Supply Grew ~5x in the Last Two Years. XFollowList reading map 2026-10-11-v1.
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Research note · ParaFi
Up/Down Market Volume is Up
What does a prediction-market volume chart count? Jerry Xu's note defines the covered contracts and notional measure, and explains the limits of its historical comparisons.
ParaFi's profile · @ParaFiCapital · Investment firm researching digital asset markets
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ParaFi — Up/Down Market Volume is Up. XFollowList reading map 2026-10-11-v1.
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Coauthored research paper · Patrick Esser
FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space
How does an existing image guide successive edits? Esser is among the report's authors. Read the edit examples and section 5 together: repeated edits can accumulate artifacts and lose detail.
Patrick Esser's profile · @pess_r · Image and video generation researcher
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Patrick Esser — FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space. XFollowList reading map 2026-10-11-v1.
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Coauthored research paper · Patrick Esser
Structure and Content-Guided Video Synthesis with Diffusion Models
What should change in a video, and what should stay? This coauthored paper separates content, scene structure and temporal consistency. Figures 1 and 4 introduce the controls; section 3.3 explains the structure tradeoff.
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Patrick Esser — Structure and Content-Guided Video Synthesis with Diffusion Models. XFollowList reading map 2026-10-11-v1.
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Explainer · Patrick McCorry
Blockchain as a Database (Part 1)
Start with database replication, then the public bulletin-board model of a rollup. The distinction between ordering data and enforcing shared rules gives you vocabulary for comparing blockchain designs.
Patrick McCorry's profile · @stonecoldpat0 · Blockchain researcher and rollup educator
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Patrick McCorry — Blockchain as a Database (Part 1). XFollowList reading map 2026-10-11-v1.
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Explainer · Patrick McCorry
Is a Rollup Just a Multisig?
Read the 9-of-10 signing example for the tension between protecting funds and responding quickly. Continue to the limits of pause powers; the network configurations discussed belong to 2023.
Patrick McCorry's profile · @stonecoldpat0 · Blockchain researcher and rollup educator
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Patrick McCorry — Is a Rollup Just a Multisig?. XFollowList reading map 2026-10-11-v1.
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Post · Pavel Durov
TON upgrade and the next MTONGA step
What did he announce, and what was still planned? His short post describes speed changes as completed and a transaction-fee reduction as the next step in a seven-step plan.
Pavel Durov's profile · @durov · Telegram founder
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Pavel Durov — TON upgrade and the next MTONGA step. XFollowList reading map 2026-10-11-v1.
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Essay · Pavel Durov
What Was TON And Why It Is Over
Why did Telegram abandon its original blockchain project? Durov explains the decision and his view of the court restrictions. This is the founder's historical account of that project.
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Pavel Durov — What Was TON And Why It Is Over. XFollowList reading map 2026-10-11-v1.
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Research collection · pcaversaccio
Reentrancy Attacks
Read the definition and five classes first, then choose an incident with linked contracts and an exploit transaction. The repository curates other researchers' analyses as well as primary transaction references.
pcaversaccio's profile · @pcaversaccio · Ethereum security researcher and tool builder
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pcaversaccio — Reentrancy Attacks. XFollowList reading map 2026-10-11-v1.
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Tool · pcaversaccio
Safe Multisig Transaction Hashes
Start with Security Best Practices and Trust Assumptions. Compare API-supplied data with the interactive mode's manually supplied parameters; computing a hash still requires checking the underlying transaction.
pcaversaccio's profile · @pcaversaccio · Ethereum security researcher and tool builder
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pcaversaccio — Safe Multisig Transaction Hashes. XFollowList reading map 2026-10-11-v1.
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Guide · Peter Steinberger
Just Talk To It - the no-bs Way of Agentic Engineering
How do you steer an agent while building an app? Steinberger explains discussing options, supplying screenshots, limiting the scope of changes and maintaining the resulting code in his own development work.
Peter Steinberger's profile · @steipete · OpenClaw creator; agent builder at OpenAI
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Peter Steinberger — Just Talk To It - the no-bs Way of Agentic Engineering. XFollowList reading map 2026-10-11-v1.
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Announcement · Peter Steinberger
OpenClaw, OpenAI and the future
Where did OpenClaw go after the initial project? Steinberger explains his decision to join OpenAI and his plans for OpenClaw to continue under an independent foundation.
Peter Steinberger's profile · @steipete · OpenClaw creator; agent builder at OpenAI
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Peter Steinberger — OpenClaw, OpenAI and the future. XFollowList reading map 2026-10-11-v1.
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Project walkthrough · Peter Steinberger
Peekaboo 2.0 – Free the CLI from its MCP shackles
How do you give an agent visual context from a desktop? Steinberger explains his macOS screenshot and analysis tool’s CLI design. Read this as a dated interface example; model-backed analysis needs a configured provider.
Peter Steinberger's profile · @steipete · OpenClaw creator; agent builder at OpenAI
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Peter Steinberger — Peekaboo 2.0 – Free the CLI from its MCP shackles. XFollowList reading map 2026-10-11-v1.
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Essay · Peter Steinberger
Shipping at Inference-Speed
What changed after months of building with agents? A dated update on his command-line-first approach, documentation, iteration and the Oracle tool he built to get another model's help on difficult tasks.
Peter Steinberger's profile · @steipete · OpenClaw creator; agent builder at OpenAI
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Peter Steinberger — Shipping at Inference-Speed. XFollowList reading map 2026-10-11-v1.
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Product-builder note · Pieter Levels
I vibecoded a full video editor into Photo AI that generates and edits videos with your trained models
How do generated clips become an edit? Levels describes a timeline and regenerating an individual clip. Read the published workflow; the agent sidebar mentioned at the end is a planned addition in this post.
Pieter Levels's profile · @levelsio · Independent developer and creator of Photo AI and Interior AI
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Pieter Levels — I vibecoded a full video editor into Photo AI that generates and edits videos with your trained models. XFollowList reading map 2026-10-11-v1.
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Development note · Pieter Levels
I've been coding almost solely on my VPS with Claude Code for almost a year now
Why keep a coding agent on a remote machine? He explains device switching and unattended work in his solo setup, and how he would use staging for a company.
Pieter Levels's profile · @levelsio · Independent developer and creator of Photo AI and Interior AI
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Pieter Levels — I've been coding almost solely on my VPS with Claude Code for almost a year now. XFollowList reading map 2026-10-11-v1.
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Product-builder note · Pieter Levels
My new project Photo AI a photorealistic AI photo studio
How does a photo-generation product turn references into a new scene? Levels explains uploaded photos, a personalized model, setting prompts and remixing a result. This is his own commercial product-launch account.
Pieter Levels's profile · @levelsio · Independent developer and creator of Photo AI and Interior AI
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Pieter Levels — My new project Photo AI a photorealistic AI photo studio. XFollowList reading map 2026-10-11-v1.
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Development note · Pieter Levels
Testing my iOS app on web with Claude Code and serve-sim on a headless Mac Mini
How do you test the feel of an app built remotely? His setup streams an iOS simulator into a browser, allowing interaction beyond screenshots.
Pieter Levels's profile · @levelsio · Independent developer and creator of Photo AI and Interior AI
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Pieter Levels — Testing my iOS app on web with Claude Code and serve-sim on a headless Mac Mini. XFollowList reading map 2026-10-11-v1.
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Trading-journal note · Pow
Pow’s statement on taking positions and losses
The pinned post explains how he frames losses, conviction and responsibility for taking a trade. Start here to understand the perspective behind his position updates.
Pow's profile · @traderpow · Pseudonymous crypto trader and trading-journal author
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Pow — Pow’s statement on taking positions and losses. XFollowList reading map 2026-10-11-v1.
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Platform commentary · Pow
The incentives behind public wallet callouts
A dated reaction to receiving rewards for callouts and trading updates. The quoted earlier post supplies the Pump.fun context; the reward mechanism is the useful reading question.
Pow's profile · @traderpow · Pseudonymous crypto trader and trading-journal author
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Pow — The incentives behind public wallet callouts. XFollowList reading map 2026-10-11-v1.
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Product essay · Riley Brown
AI Wrapper Startups: What They Are & Why They Matter
What makes an app useful when it uses someone else's AI? His discussion connects niche knowledge and distribution with API dependence and competition.
Riley Brown's profile · @rileybrown · AI educator and app-building creator
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Riley Brown — AI Wrapper Startups: What They Are & Why They Matter. XFollowList reading map 2026-10-11-v1.
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Interview · Riley Brown
Riley Brown on teaching and demonstrating AI app building
How does he turn an app-building session into an educational video? In the published transcript, his answer around 07:50 explains recording the demonstration first and its introduction afterward.
Riley Brown's profile · @rileybrown · AI educator and app-building creator
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Riley Brown — Riley Brown on teaching and demonstrating AI app building. XFollowList reading map 2026-10-11-v1.
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Explainer · Riley Brown
Using API's in your vibe coded apps
What useful feature could an AI service add to your app? Start with the input/output explanation and the example of fitting generated video into an editing workflow.
Riley Brown's profile · @rileybrown · AI educator and app-building creator
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Riley Brown — Using API's in your vibe coded apps. XFollowList reading map 2026-10-11-v1.
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Coauthored research paper · Robin Rombach
FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space
How do you preserve a subject while changing a picture? This coauthored report demonstrates reference-guided and iterative edits. Begin with the examples, then read section 5 on artifacts and lost detail.
Robin Rombach's profile · @robrombach · Cofounder and CEO of Black Forest Labs
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Robin Rombach — FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space. XFollowList reading map 2026-10-11-v1.
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Coauthored research paper · Robin Rombach
High-Resolution Image Synthesis with Latent Diffusion Models
Why generate in a compressed representation? Rombach and collaborators explain the encoder, diffusion process and decoder. Sections 3.1–3.3 connect compression and conditioning to image synthesis; neural-network familiarity helps.
Robin Rombach's profile · @robrombach · Cofounder and CEO of Black Forest Labs
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Robin Rombach — High-Resolution Image Synthesis with Latent Diffusion Models. XFollowList reading map 2026-10-11-v1.
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Security analysis · samczsun
Demystifying the North Korean Threat
How does a security investigation extend beyond smart contracts? His account connects incident response with infrastructure, recruiting and access controls, showing how the threat model changes as evidence arrives.
samczsun's profile · @samczsun · Security researcher and Security Alliance founder
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samczsun — Demystifying the North Korean Threat. XFollowList reading map 2026-10-11-v1.
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Security essay · samczsun
Higher Bug Bounties Won't Stop Hacks
How do you keep a deployed system under review? His argument distinguishes a passive bounty offer from commissioning a new audit, including changes in dependencies and the resources needed for each approach.
samczsun's profile · @samczsun · Security researcher and Security Alliance founder
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samczsun — Higher Bug Bounties Won't Stop Hacks. XFollowList reading map 2026-10-11-v1.
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Technical guide · samczsun
So you want to use a price oracle
When can a quoted market price become an attack vector? His incident examples explain how protocols consume prices and what happens when attackers can manipulate the source they trust.
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samczsun — So you want to use a price oracle. XFollowList reading map 2026-10-11-v1.
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Research explainer · Sander Dieleman
Guidance: a cheat code for diffusion models
How do classifier and classifier-free guidance differ? His own explanation builds the intuition and then the mathematics, with references to the original research. Useful after the geometry essay.
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Sander Dieleman — Guidance: a cheat code for diffusion models. XFollowList reading map 2026-10-11-v1.
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Illustrated research explainer · Sander Dieleman
The geometry of diffusion guidance
What does stronger guidance do to a diffusion model? Dieleman's diagrams connect denoising steps to guidance strength and show why excessive guidance can distort output. Start with the visual sections before the equations.
Sander Dieleman's profile · @sedielem · Research scientist at Google DeepMind
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Sander Dieleman — The geometry of diffusion guidance. XFollowList reading map 2026-10-11-v1.
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Essay · Sartoshi
sartoshi_rip
His account of the June 2022 community handover and planned return under a new handle. It separates his role as the original artist from authority over later mfers projects.
Sartoshi's profile · @sartoshi_rip · Artist and creator of mfers
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Sartoshi — sartoshi_rip. XFollowList reading map 2026-10-11-v1.
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Essay · Sartoshi
what are mfers
The creator explains the character's meme origins, the hand-drawn style and CC0 reuse. The passages on community projects show what he means by a collection without a prescribed roadmap.
Sartoshi's profile · @sartoshi_rip · Artist and creator of mfers
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Sartoshi — what are mfers. XFollowList reading map 2026-10-11-v1.
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Research explainer · Sasha Rush
A technical report on Composer 2
How is a coding model trained for an agent's work? Rush introduces continued pretraining, reinforcement learning in Cursor sessions and evaluation on tasks from the team's own engineering work. The article leads to the full team report.
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Sasha Rush — A technical report on Composer 2. XFollowList reading map 2026-10-11-v1.
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Paper · Sasha Rush
Composer 2 Technical Report
What evidence supports a training change? This coauthored Cursor Research report connects the recipe to ablations, agent behavior and the design of CursorBench. Read the benchmark conditions alongside the team's reported results.
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Sasha Rush — Composer 2 Technical Report. XFollowList reading map 2026-10-11-v1.
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Educational software project · Sasha Rush
Llama2.rs
What does a small local language-model program do? Rush and Rachit Singh extend a Rust port of llama2.c. The README exposes model conversion, memory-mapped weights and decoder settings; some Rust familiarity is useful.
Sasha Rush's profile · @srush_nlp · ML researcher at Cursor
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Sasha Rush — Llama2.rs. XFollowList reading map 2026-10-11-v1.
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Tutorial · Sasha Rush
The Annotated Transformer
How do the Transformer's equations become code? Rush's annotated implementation of Vaswani and coauthors' architecture covers attention, masking, training and translation, with help credited to Vincent Nguyen and Guillaume Klein.
Sasha Rush's profile · @srush_nlp · ML researcher at Cursor
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Sasha Rush — The Annotated Transformer. XFollowList reading map 2026-10-11-v1.
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Code · Sebastian Raschka
Build a Large Language Model (From Scratch): companion code
How do the pieces become a model? Follow the chapter map from text data to a GPT implementation, pretraining and fine-tuning. Start with the introductory PyTorch appendix if tensor operations are unfamiliar.
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Sebastian Raschka — Build a Large Language Model (From Scratch): companion code. XFollowList reading map 2026-10-11-v1.
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Tutorial · Sebastian Raschka
Understanding and Coding the Self-Attention Mechanism of Large Language Models From Scratch
How does attention give a word context? Raschka builds a small PyTorch example from word vectors to attention weights and a context vector, then explains multiple heads and cross-attention.
Sebastian Raschka's profile · @rasbt · LLM research engineer and author
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Sebastian Raschka — Understanding and Coding the Self-Attention Mechanism of Large Language Models From Scratch. XFollowList reading map 2026-10-11-v1.
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Practical guide · Sebastian Raschka
Using Local Coding Agents
How do you pair a local model with a coding agent? Raschka separates the runtime, model and agent client, then measures speed, memory and performance on his own tool-use tasks. Start with the setup and test sections.
Sebastian Raschka's profile · @rasbt · LLM research engineer and author
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Sebastian Raschka — Using Local Coding Agents. XFollowList reading map 2026-10-11-v1.
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Research walkthrough · Shunyu Yao
ReAct: Synergizing Reasoning and Acting in Language Models
How do reasoning and external actions fit together? This coauthored project walkthrough shows alternating thoughts, actions and observations, including a failure example. The linked paper was first submitted on 6 October 2022.
Shunyu Yao's profile · @ShunyuYao12 · Language-agent researcher; coauthor of ReAct and τ-bench
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Shunyu Yao — ReAct: Synergizing Reasoning and Acting in Language Models. XFollowList reading map 2026-10-11-v1.
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Research paper · Shunyu Yao
τ-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains
How reliable is an agent that changes records? Coauthored with Noah Shinn, Pedram Razavi and Karthik Narasimhan, this paper compares expected and actual database outcomes and measures consistency across repeated trials. Read the setup before interpreting the scores.
Shunyu Yao's profile · @ShunyuYao12 · Language-agent researcher; coauthor of ReAct and τ-bench
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Shunyu Yao — τ-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains. XFollowList reading map 2026-10-11-v1.
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Tutorial · Simon Willison
Large Language Models can run tools in your terminal with LLM 0.26
How does a model’s request become an executed tool call? Willison demonstrates Python functions, tool plugins, a read-only SQL example and tool-call logs. The dated examples require a terminal, Python and a supported model.
Simon Willison's profile · @simonw · Independent developer; creator of Datasette and LLM
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Simon Willison — Large Language Models can run tools in your terminal with LLM 0.26. XFollowList reading map 2026-10-11-v1.
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Guide · Simon Willison
Linear walkthroughs
How do you learn what your generated app does? Willison walks through asking an agent to explain a SwiftUI project, with source excerpts and command output recorded using his Showboat tool.
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Simon Willison — Linear walkthroughs. XFollowList reading map 2026-10-11-v1.
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Research commentary · Simon Willison
New prompt injection papers: Agents Rule of Two and The Attacker Moves Second
His analysis of other researchers’ proposals extends the data-leak model to state-changing tools. Read the updates explaining the difference between lower risk and safety; the cited papers retain their own authorship.
Simon Willison's profile · @simonw · Independent developer; creator of Datasette and LLM
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Simon Willison — New prompt injection papers: Agents Rule of Two and The Attacker Moves Second. XFollowList reading map 2026-10-11-v1.
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Essay · Simon Willison
Not all AI-assisted programming is vibe coding (but vibe coding rocks)
When is a quick AI-built experiment enough? Willison explains the original meaning of vibe coding, why it is useful for exploration and what changes when other people depend on your software.
Simon Willison's profile · @simonw · Independent developer; creator of Datasette and LLM
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Simon Willison — Not all AI-assisted programming is vibe coding (but vibe coding rocks). XFollowList reading map 2026-10-11-v1.
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Release walkthrough · Simon Willison
Structured data extraction from unstructured content using LLM schemas
How do you turn articles or images into queryable records? Follow reusable schemas, saved responses, newline-delimited JSON and SQLite. The author explains that output-format reliability varies by model.
Simon Willison's profile · @simonw · Independent developer; creator of Datasette and LLM
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Simon Willison — Structured data extraction from unstructured content using LLM schemas. XFollowList reading map 2026-10-11-v1.
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Security explainer · Simon Willison
The lethal trifecta for AI agents: private data, untrusted content, and external communication
Which combination lets an attacker steal data through an agent? His explanation connects private inputs, attacker-controlled content and outbound communication, making the capabilities you need to separate visible.
Simon Willison's profile · @simonw · Independent developer; creator of Datasette and LLM
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Simon Willison — The lethal trifecta for AI agents: private data, untrusted content, and external communication. XFollowList reading map 2026-10-11-v1.
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Essay · Simon Willison
Vibe engineering
What skills matter when agents write the code? A concrete account of planning, documentation, tests, review and preview environments as part of an engineer's work with agents.
Simon Willison's profile · @simonw · Independent developer; creator of Datasette and LLM
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Simon Willison — Vibe engineering. XFollowList reading map 2026-10-11-v1.
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Research paper · Stella Biderman
Emergent and Predictable Memorization in Large Language Models
Coauthored research. Inspect the exact-continuation definition before interpreting the predictions. The corrected results and Pythia-only experiments limit how far they can be generalized.
Stella Biderman's profile · @BlancheMinerva · AI researcher and executive director of EleutherAI
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Stella Biderman — Emergent and Predictable Memorization in Large Language Models. XFollowList reading map 2026-10-11-v1.
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Position paper · Stella Biderman
Position: Don't Just "Fix it in Post": A Science of AI Must Study Training Dynamics
Coauthored position paper. Sections 2.1 and 2.2 explain the difference between describing a finished model and predicting behavior during training. Start here without the experimental papers' technical setup.
Stella Biderman's profile · @BlancheMinerva · AI researcher and executive director of EleutherAI
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Stella Biderman — Position: Don't Just "Fix it in Post": A Science of AI Must Study Training Dynamics. XFollowList reading map 2026-10-11-v1.
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Research paper · Stella Biderman
Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling
Coauthored research releasing a controlled model suite. Section 2 explains the shared data order and saved checkpoints; section 3 shows what questions that infrastructure makes testable.
Stella Biderman's profile · @BlancheMinerva · AI researcher and executive director of EleutherAI
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Stella Biderman — Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling. XFollowList reading map 2026-10-11-v1.
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Workflow · Steve Yegge
Beads Best Practices
How can a coding agent resume useful work after a restart? Start with planning outside Beads, recording dependencies and giving each session one task.
Steve Yegge's profile · @Steve_Yegge · Independent engineer, writer and creator of Beads and Gas Town
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Steve Yegge — Beads Best Practices. XFollowList reading map 2026-10-11-v1.
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Project walkthrough · Steve Yegge
Welcome to Gas Town
What needs coordinating when several agents work on a repository? His launch walkthrough describes task ownership, persistent handoffs, worker supervision and a queue for merging changes.
Steve Yegge's profile · @Steve_Yegge · Independent engineer, writer and creator of Beads and Gas Town
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Steve Yegge — Welcome to Gas Town. XFollowList reading map 2026-10-11-v1.
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Essay · Taylor Monahan
Blockchain malware’s neverending novelty
Start with the before-and-after infection chains. They show which role a blockchain plays and which conventional steps still put malicious code on a device.
Taylor Monahan's profile · @tayvano_ · Crypto security researcher and writer
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Taylor Monahan — Blockchain malware’s neverending novelty. XFollowList reading map 2026-10-11-v1.
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Guide · Taylor Monahan
MyCrypto’s Security Guide For Dummies And Smart People Too
Read the security-culture and account-access sections for a team checklist's underlying logic. The page was last updated in March 2021; service-specific instructions are historical.
Taylor Monahan's profile · @tayvano_ · Crypto security researcher and writer
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Taylor Monahan — MyCrypto’s Security Guide For Dummies And Smart People Too. XFollowList reading map 2026-10-11-v1.
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Paper · Thomas Wolf
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
What does model compression preserve? This coauthored paper trains a smaller BERT student using a teacher model, then compares language-task scores and inference speed. Inspect the task tables and loss ablations rather than treating one aggregate score as universal capability.
Thomas Wolf's profile · @Thom_Wolf · Hugging Face cofounder and Chief Science Officer
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Thomas Wolf — DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter. XFollowList reading map 2026-10-11-v1.
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Essay · Thomas Wolf
The Einstein AI model
Does answering a hard question establish scientific discovery? Wolf argues for testing how models ask new questions and challenge assumptions. Read it as his proposed research direction; the essay leaves the evaluation method open.
Thomas Wolf's profile · @Thom_Wolf · Hugging Face cofounder and Chief Science Officer
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Thomas Wolf — The Einstein AI model. XFollowList reading map 2026-10-11-v1.
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Coauthored research paper · Thomas Wolf
Transformers: State-of-the-Art Natural Language Processing
What has to match when you reuse a model? This coauthored library paper connects the tokenizer, Transformer and task-specific head, then explains sharing models with cards describing their training and limitations.
Thomas Wolf's profile · @Thom_Wolf · Hugging Face cofounder and Chief Science Officer
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Thomas Wolf — Transformers: State-of-the-Art Natural Language Processing. XFollowList reading map 2026-10-11-v1.
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Coauthored research paper · Tim Brooks
Generating Long Videos of Dynamic Scenes
How can new scenery appear without destroying continuity? This coauthored paper explains a two-stage video model and compares temporal behavior on specific datasets. Start with the introduction and sections 4–5.
Tim Brooks's profile · @_tim_brooks · Media generation lead at Meta Superintelligence Labs
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Tim Brooks — Generating Long Videos of Dynamic Scenes. XFollowList reading map 2026-10-11-v1.
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Coauthored research project · Tim Brooks
InstructPix2Pix: Learning to Follow Image Editing Instructions
What changes when you edit an image with words? This coauthored project pairs input images, instructions and results, then shows failure cases. Read the examples before the linked technical paper.
Tim Brooks's profile · @_tim_brooks · Media generation lead at Meta Superintelligence Labs
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Tim Brooks — InstructPix2Pix: Learning to Follow Image Editing Instructions. XFollowList reading map 2026-10-11-v1.
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Research explainer · Tim Dettmers
LLM.int8() and Emergent Features
What happens when model numbers use fewer bits? His own explanation connects rounding errors, unusually large values and mixed-precision calculations. Begin with the small numerical examples before the research results.
Tim Dettmers's profile · @Tim_Dettmers · Assistant professor at CMU; research scientist at Ai2
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Tim Dettmers — LLM.int8() and Emergent Features. XFollowList reading map 2026-10-11-v1.
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Coauthored research paper · Tim Dettmers
QLoRA: Efficient Finetuning of Quantized LLMs
How can you adapt a model without updating all its parameters? This coauthored paper combines a frozen four-bit base with trainable adapters. Inspect its training setup and evaluation examples; fitting a model does not establish answer quality.
Tim Dettmers's profile · @Tim_Dettmers · Assistant professor at CMU; research scientist at Ai2
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Tim Dettmers — QLoRA: Efficient Finetuning of Quantized LLMs. XFollowList reading map 2026-10-11-v1.
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Video · TJR
Boot Camp Day 13: Risk Management
What does he mean by managing risk? The lesson discusses the amount risked per trade and per day, the effect of overtrading and keeping to a plan.
TJR's profile · @_TJRTrades · Trader and trading educator
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TJR — Boot Camp Day 13: Risk Management. XFollowList reading map 2026-10-11-v1.
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Video · TJR
Boot Camp Day 4: Trends
What does he mean by a trend? Follow his explanation of highs, lows and different timeframes. The closing exercise asks learners to record a forecast on one or two markets before working on an entry.
TJR's profile · @_TJRTrades · Trader and trading educator
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TJR — Boot Camp Day 4: Trends. XFollowList reading map 2026-10-11-v1.
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Research explainer · Tri Dao
FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision
Why can the same attention calculation run faster? This coauthored explanation connects memory traffic, overlapping GPU operations and lower-precision numbers. Start with the recap, then inspect the hardware and precision used in each comparison.
Tri Dao's profile · @tri_dao · Chief Scientist at Together AI; ML systems researcher
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Tri Dao — FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision. XFollowList reading map 2026-10-11-v1.
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Research explainer · Tri Dao
Mamba-3 Part 1
What does a fixed-size memory change? This coauthored overview explains Mamba-3's design, decoding costs and retrieval comparisons. It also shows why the authors explore hybrids that combine state-space layers with attention.
Tri Dao's profile · @tri_dao · Chief Scientist at Together AI; ML systems researcher
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Tri Dao — Mamba-3 Part 1. XFollowList reading map 2026-10-11-v1.
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Position note · Unipcs
A public USELESS position thesis
A concrete example of how he combines a memecoin narrative, access to trading venues and a disclosed buying position. Separate the observations from his forecast.
Unipcs's profile · @theunipcs · Pseudonymous memecoin trader and market commentator
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Unipcs — A public USELESS position thesis. XFollowList reading map 2026-10-11-v1.
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Market commentary · Unipcs
How Unipcs interprets a market selloff
His explanation links calendar fears, cryptography concerns and expected sentiment changes. Read it as a dated market argument and compare its assumptions with later events.
Unipcs's profile · @theunipcs · Pseudonymous memecoin trader and market commentator
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Unipcs — How Unipcs interprets a market selloff. XFollowList reading map 2026-10-11-v1.
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Network launch explanation · Uniswap
Unichain Mainnet is Here — A New Home for DeFi
The launch account separates available features from upcoming infrastructure. Compare fault proofs, block building and interoperability as different parts of the architecture.
Uniswap's profile · @Uniswap · Decentralized exchange protocol and product ecosystem
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Uniswap — Unichain Mainnet is Here — A New Home for DeFi. XFollowList reading map 2026-10-11-v1.
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Protocol announcement · Uniswap
Uniswap v4 is Here — A New Era of DeFi
Begin with the explanation of hooks and configurable pool logic, then open the linked developer guide. It describes the v4 launch rather than guaranteeing the safety of every hook.
Uniswap's profile · @Uniswap · Decentralized exchange protocol and product ecosystem
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Uniswap — Uniswap v4 is Here — A New Era of DeFi. XFollowList reading map 2026-10-11-v1.
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Research paper · Valeria Nikolaenko
Atomic and Fair Data Exchange via Blockchain
Read the coauthored abstract for the file-for-payment problem and the role of verifiable encryption. Most data stays offchain while a blockchain enforces the exchange; the archive records receipt in March 2024.
Valeria Nikolaenko's profile · @lera_banda · Cryptography researcher
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Valeria Nikolaenko — Atomic and Fair Data Exchange via Blockchain. XFollowList reading map 2026-10-11-v1.
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Research paper · Valeria Nikolaenko
Powers-of-Tau to the People: Decentralizing Setup Ceremonies
Start with the one-honest-participant condition in the coauthored abstract. The paper compares setup protocols with onchain and offchain data storage; the archive records receipt in November 2022 and revision in February 2024.
Valeria Nikolaenko's profile · @lera_banda · Cryptography researcher
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Valeria Nikolaenko — Powers-of-Tau to the People: Decentralizing Setup Ceremonies. XFollowList reading map 2026-10-11-v1.
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Project update · VitaDAO
ARTAN Bio (VitaRNA) and Syenex Team Up to Accelerate Next-Generation Anti-Aging Therapy
What did this development partnership add? Read the delivery, prototyping and licensing tasks, then compare them with the project's proposal and timeline.
VitaDAO's profile · @vitadao · DAO funding and incubating longevity research
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VitaDAO — ARTAN Bio (VitaRNA) and Syenex Team Up to Accelerate Next-Generation Anti-Aging Therapy. XFollowList reading map 2026-10-11-v1.
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Project explanation · VitaDAO
Meet Aubrai and His $100K Hypothesis Challenge for Longevity Research
How does the proposal connect scientific ideas to funding? Follow hypothesis selection, research milestones and the role of VitaLabs, preserving the announcement's original date.
VitaDAO's profile · @vitadao · DAO funding and incubating longevity research
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VitaDAO — Meet Aubrai and His $100K Hypothesis Challenge for Longevity Research. XFollowList reading map 2026-10-11-v1.
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Essay · Vitalik Buterin
Possible futures of the Ethereum protocol, part 3: The Scourge
Who gets to choose and order transactions? This technical essay compares ways to distribute authority in block production and discusses the pressure for staking and building to concentrate.
Vitalik Buterin's profile · @VitalikButerin · Ethereum co-founder and researcher
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Vitalik Buterin — Possible futures of the Ethereum protocol, part 3: The Scourge. XFollowList reading map 2026-10-11-v1.
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Essay · Vitalik Buterin
Simplifying the L1
Why should a blockchain protocol be simpler? Follow his division of consensus-critical code, historical compatibility and useful supporting software before reading the proposed virtual-machine transition.
Vitalik Buterin's profile · @VitalikButerin · Ethereum co-founder and researcher
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Vitalik Buterin — Simplifying the L1. XFollowList reading map 2026-10-11-v1.
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Letter · Vlad Tenev
A Letter From Robinhood Co-Founder & Co-CEO Vlad Tenev
How did he explain commission-free brokerage? This historical letter describes order routing to market makers, rebates and Robinhood's approach to execution.
Vlad Tenev's profile · @vladtenev · Robinhood co-founder and CEO
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Vlad Tenev — A Letter From Robinhood Co-Founder & Co-CEO Vlad Tenev. XFollowList reading map 2026-10-11-v1.
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Post · Vlad Tenev
Stock Tokens: in-kind redemption and voting are coming
Which product rights did he say would come next? The original sentence gives you a precise reference for following later redemption and voting announcements.
Vlad Tenev's profile · @vladtenev · Robinhood co-founder and CEO
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Vlad Tenev — Stock Tokens: in-kind redemption and voting are coming. XFollowList reading map 2026-10-11-v1.
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Market review · Wintermute
Market Update: 5 October 2026
Jasper De Maere's OTC-desk review ties market observations to a conditional macro and altcoin outlook.
Wintermute's profile · @wintermute_t · Crypto trading firm and liquidity provider
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Wintermute — Market Update: 5 October 2026. XFollowList reading map 2026-10-11-v1.
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Research · Wintermute
SUAVE, Reimagining the Transaction Supply Chain
Zak's research asks how the proposed system redistributes order-flow access and trust. It describes a design at that time.
Wintermute's profile · @wintermute_t · Crypto trading firm and liquidity provider
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Wintermute — SUAVE, Reimagining the Transaction Supply Chain. XFollowList reading map 2026-10-11-v1.
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Research paper · Zac Williamson
PLONK: Permutations over Lagrange-bases for Oecumenical Noninteractive arguments of Knowledge
Start with the abstract for the purpose of the coauthored proof system and its updatable universal setup. The archive records receipt on 21 August 2019 and later revisions; the full mathematical paper requires cryptographic preparation.
Zac Williamson's profile · @Zac_Aztec · Aztec cofounder and zero-knowledge cryptography researcher
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Zac Williamson — PLONK: Permutations over Lagrange-bases for Oecumenical Noninteractive arguments of Knowledge. XFollowList reading map 2026-10-11-v1.
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Research paper · Zac Williamson
plookup: A simplified polynomial protocol for lookup tables
The coauthored abstract explains checking many values against an allowed table, with range proofs as an example. The archive records receipt in March 2020; read the construction for its precise conditions.
Zac Williamson's profile · @Zac_Aztec · Aztec cofounder and zero-knowledge cryptography researcher
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Zac Williamson — plookup: A simplified polynomial protocol for lookup tables. XFollowList reading map 2026-10-11-v1.
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Investigation · ZachXBT
An onchain connection between the Bybit and Phemex hacks
What connects two separate incidents? His post identifies an overlap address and commingled funds. It is a compact starting point for following the underlying tracing claim.
ZachXBT's profile · @zachxbt · Independent crypto investigator
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ZachXBT — An onchain connection between the Bybit and Phemex hacks. XFollowList reading map 2026-10-11-v1.
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Investigation · ZachXBT
The $243 million social-engineering theft investigation
How can a money trail help explain a theft? Start with the incident summary, then point 11b on a reused deposit address. The thread also shows why identifying people requires evidence beyond transaction links.
ZachXBT's profile · @zachxbt · Independent crypto investigator
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ZachXBT — The $243 million social-engineering theft investigation. XFollowList reading map 2026-10-11-v1.
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Reader task starting points
These 85 of 85 recorded first readings use the same filters. Each preserves its exact starting URL, task, publication date and material-check date. A topic's first reading may differ from the works chosen for the profile.
AI agents & automation · Understand the agent architecture · Chip Huyen
Start by defining the agent’s environment, available tools and goal. Huyen’s book excerpt connects planning to actual function calls, then explains why tool choice, parameters, results and completion need separate checks. It is a useful primer before choosing a framework.
Agents
Read the overview, Tools and Planning sections, then the failure modes. The examples explain how the next action depends on tool results; they also show places to involve a person.
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Authorship reference · Current reading list · Matching work in the profile
AI agents & automation · Understand the agent architecture · Harrison Chase
Choose the surrounding software an agent needs. Chase separates framework abstractions from a runtime that preserves execution state and a harness with ready-made tools and instructions. His second essay helps decide when several workers are useful and how to coordinate their context.
Agent Frameworks, Runtimes, and Harnesses- oh my!
An accessible comparison of framework, runtime and harness responsibilities. The definitions are Chase’s proposed mental model, with overlapping boundaries; compare it with the needs of your own task.
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AI agents & automation · Connect tools to a workflow · Jerry Liu
Move from document Q&A to a process that updates other software. Liu traces a contract through parsing, policy retrieval, a structured report and an action connector. Typed handoffs and review points explain how to combine fixed business rules with flexible model decisions.
Beyond chatbots: adopting Agentic Document Workflows for enterprises
Follow the four-stage table, then the contract-risk example. Notice the artifacts passed between stages and the separate places to review the clauses, matches, report and final action.
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AI agents & automation · Check outcomes and control actions · Lilian Weng
Ask what an agent may change and who checks the result. Weng reviews persistent files, delegated workers and self-improvement loops, then explains why permission controls and evaluators should remain outside the parts the agent is optimizing. Her examples distinguish a plausible artifact from a completed task.
Harness Engineering for Self-Improvement
Start with Harness Design Patterns, then Future Challenges. The review’s discussion of reward hacking, independent checks and human decision points is useful even before the more technical optimization methods.
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AI agents & automation · Connect tools to a workflow · Peter Steinberger
See how an agent gets visual context from a desktop. Steinberger’s Peekaboo walkthrough explains a macOS screenshot tool with separate analysis and a CLI that can be called when needed. It offers a concrete interface-design example alongside his broader personal-agent work.
Peekaboo 2.0 – Free the CLI from its MCP shackles
Read How It Works and the capture/analyze examples. This is a macOS tool and a dated release walkthrough; screenshots and model-backed image analysis have different setup requirements.
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AI agents & automation · Check outcomes and control actions · Shunyu Yao
Test whether an agent repeatedly completes the same request while talking to users and changing records. Yao’s coauthored τ-bench paper separates a correct database outcome from conversational variation and measures consistency across trials. It also states what outcome-only checks can miss.
τ-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains
Read the airline example and section 3’s task, reward and pass^k definitions before the experiments. Yao is a coauthor. Simulated users and simplified policies make this a controlled research benchmark.
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AI agents & automation · Connect tools to a workflow · Simon Willison
Build a small tool-using loop you can inspect. Willison’s LLM tutorial exposes Python functions and plugins to a model, shows an incorrect SQL query followed by schema lookup, and prints tool calls. You can see the difference between requesting an action and the host program executing it.
Large Language Models can run tools in your terminal with LLM 0.26
Start with the built-in tool demo and --tools-debug output, then the read-only Datasette example. Python and terminal knowledge help; examples show the models and software version available in May 2025.
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AI for creative work · Create an image · Max Woolf
Turn an image idea into instructions you can check. Woolf publishes prompts beside actual outputs, including precise edits, positional ambiguity and missed requirements. His experiments give you a practical way to inspect the result.
Write a visual brief and check each change
Start with “Hello, Nano Banana!” and its five requested edits, then “Image Prompting Like an Engineer”. Compare each requirement with the image. These are his experiments with the model available in November 2025.
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AI for creative work · Edit images and video · Patrick Esser
Decide which parts of a video should change: appearance, scene structure or motion across frames. Esser’s coauthored research explains these controls and why preserving structure can restrict an edit.
Change a video’s appearance while preserving its structure
Start with Figures 1 and 4, then section 3.3 on content and structure. Read it as the team's 2023 research, with familiarity with diffusion helpful for the method and equations.
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AI for creative work · Shape the result · Pieter Levels
See how a builder turns generated clips into an editable video. Levels describes a timeline and regenerating one clip inside Photo AI. It is a useful account of iteration from the creator of the commercial product.
Assemble and revise generated video clips
Read the timeline and clip-regeneration workflow. Levels describes his own Photo AI product; the agent sidebar proposed at the end is a future addition in this post.
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AI for creative work · Create an image · Robin Rombach
Explore how a reference image can carry a character or object into a new scene. Rombach coauthored FLUX.1 Kontext; the report separates edit accuracy, visual quality and identity consistency, with examples of repeated editing.
Use a reference image through successive edits
Begin with Figure 1 and the iterative examples in section 4.3, then section 5 on limitations. This team report shows artifacts that accumulate through edits; the method sections are more technical.
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AI for creative work · Shape the result · Sander Dieleman
Understand a diffusion model’s guidance setting before increasing it. Dieleman illustrates how conditioning changes the denoising path and why stronger guidance can create distortions instead of a better picture.
See what stronger diffusion guidance changes
Begin with “Visualising diffusion sampling” and the guidance diagrams. The visual intuition comes first; probability and machine-learning familiarity help with the equations. This control applies to the diffusion methods discussed.
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AI for creative work · Edit images and video · Tim Brooks
Specify a change to an existing image and inspect what else moves. Brooks shares equal contribution on InstructPix2Pix, whose paired examples and failure cases make instruction-based editing concrete.
Edit a picture with a written instruction
Compare the input, instruction and output, then the failure cases. Brooks and Holynski share equal contribution, with Efros also credited. The project page leads to the technical paper.
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AI security & interpretability · Understanding model behavior · Chris Olah
Olah makes internal model behavior visible through features, circuits and interventions. Start with his coauthored visual introduction using a vision network, then the Claude 3.5 Haiku case studies of refusals and hallucinations. The method explains parts of selected responses; its limits are essential to judging what the explanation establishes.
Zoom In: An Introduction to Circuits
Begin with curve detectors and how their connections form a circuit. This coauthored introduction uses a vision model to explain the vocabulary. Continue to On the Biology of a Large Language Model for language-model interventions and methodological limits.
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AI security & interpretability · Attacks on agents & models · Johann Rehberger
Rehberger follows attacks from the content an agent sees to the action it takes. His AI ClickFix report shows a computer-use agent following webpage instructions into terminal execution. Compare it with his MCP report, where a code comment redirects private-message access into a public write, then inspect which permissions enabled each step.
AI ClickFix: Hijacking Computer-Use Agents Using ClickFix
Follow the webpage-to-terminal sequence in his 2025 proof of concept, then read Mitigations. The report tested a particular Claude computer-use setup; it helps identify browser, host and network boundaries to inspect.
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AI security & interpretability · Attacks on agents & models · Kai Greshake
Greshake explains attacks that arrive through retrieved content rather than a direct user prompt. Begin with his page-to-application example, then the coauthored paper’s threat taxonomy. His defense essay compares trust tracking and action restrictions, presenting design tradeoffs rather than a proven universal fix.
How We Broke LLMs: Indirect Prompt Injection
Read the introduction and the explanation of indirect injection: attacker-authored material is retrieved during a normal task and treated as instructions. Continue to the linked coauthored paper for the threat taxonomy. The product demonstrations are historical.
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AI security & interpretability · Attacks on agents & models · Lilian Weng
Weng supplies a map for reading adversarial-attack research. Her survey defines what the attacker can access, then compares jailbreak prompts, gradient-based attacks and human or model red-teaming. Use that distinction to ask which system and threat a reported result actually covers before comparing defenses.
Adversarial Attacks on LLMs
Start with Threat Model and the table of attack types, then Jailbreak Prompting. This is her survey of inference-time attacks; it does not cover training-data extraction or poisoning and does not attribute the surveyed experiments to her.
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AI security & interpretability · Understanding model behavior · Neel Nanda
Nanda helps you turn interpretability vocabulary into a testable question. His explainer distinguishes features, circuits and interventions. Continue to attribution patching to compare a changed prompt with a clean one and investigate which activations affect the answer. He treats the fast approximation as a way to generate hypotheses for stronger tests.
A Comprehensive Mechanistic Interpretability Explainer & Glossary
Read the General section’s definitions of feature, circuit and intervention before the technical entries. Then his attribution-patching article shows how changing activations tests a hypothesis. Python, tensors and transformer basics help with the experiments.
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AI security & interpretability · Data boundaries & tool permissions · Simon Willison
Willison gives developers a clear model of agent data leaks: combine private data, attacker-controlled content and a route to send information out. Begin with his lethal trifecta, then map the three capabilities to your tools. His later Rule of Two commentary adds state-changing actions and explains why reducing risk is different from proving safety.
The lethal trifecta for AI agents: private data, untrusted content, and external communication
Use the three-part diagram to identify private inputs, external content and outbound communication in an agent workflow. Continue to his November commentary for writes and state changes; the original trifecta focuses on data theft.
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AI security & interpretability · Data boundaries & tool permissions · Stella Biderman
Biderman addresses a different data boundary: text a model may reproduce from training. Her coauthored study asks whether small models or early checkpoints can predict which strings a finished model will memorize. Start with the extraction definition and threat model, then the corrected results and limits before treating a preliminary test as privacy assurance.
Emergent and Predictable Memorization in Large Language Models
In the coauthored paper, read sections 2.1–2.2 for what extraction means and the model-builder threat. Then read sections 6–7: the revised analysis and Pythia setting limit what smaller-model tests can establish about sensitive training strings.
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Applied AI engineering · Operate and maintain the application · Addy Osmani
Keep verification in the development and maintenance loop. Osmani connects the final output and the path used to produce it with regression tests, versioned context and production observation. This route helps a team decide what must be checked before accepting an agent-built change.
The New Software Lifecycle
Read Verification and How each phase actually changes. This is Osmani’s commentary on a whitepaper coauthored with Shubham Saboo and Sokratis Kartakis. Use its release-checking questions; cost diagrams are illustrative.
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Applied AI engineering · Operate and maintain the application · Chip Huyen
Plan the components around a model API as the application grows. Huyen connects retrieval, guardrails, model routing and caching to latency, cost and failure handling. Her observability section shows what to record so a bad response can be traced to the step that produced it.
Building A Generative AI Platform
Follow the architecture diagrams, gateway and caching tradeoffs, then logs, metrics and traces. The components are a planning guide; the 2024 prices and sample API calls need current documentation before implementation.
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Applied AI engineering · Measure product quality · Eugene Yan
Turn labeled examples into an experiment you can repeat after a prompt or model change. Yan separates evaluation criteria, holds back test data and joins the evaluation harness to configuration experiments. His AlignEval app makes the labeling and calibration steps concrete.
Product Evals in Three Simple Steps
Read all three steps. Pay attention to one evaluator per criterion, held-out test examples and the uncertainty around a measured defect rate. Continue to AlignEval for an inspectable implementation.
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Applied AI engineering · Measure product quality · Hamel Husain
Find the failures that matter before adding a quality dashboard. Husain’s case study combines scoped assertions with readable application traces and human review. His follow-up shows how to calibrate a model judge against the domain expert’s decisions.
Your AI Product Needs Evals
Start with the Lucy case study, then the three evaluation layers. Notice which failures code can check, what a reviewer needs to see and why an automated judge needs its own evaluation.
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Applied AI engineering · Prepare data and context · Jason Liu
Find out whether the application retrieves the information a user needs. Liu starts with a retrieval baseline, then tests metadata and search methods before changing the final answer. His second essay shows how source details and facets can guide further exploration.
Systematically Improving Your RAG
Read the retrieval baseline, metadata and feedback sections. Separate whether the right document was found from whether the final answer was useful. Client numbers are examples to interpret, not targets for your system.
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Applied AI engineering · Prepare data and context · Jerry Liu
Build a reusable test set for a retrieval application. Liu and Andrei Fajardo describe a dataset with questions, reference answers and the underlying documents, so competing changes can be evaluated on the same task. Start with the dataset design before choosing a metric.
Introducing Llama Datasets
Coauthored with Andrei Fajardo. Read the dataset, generation and evaluation workflow; keep the provenance of synthetic and human examples. The API snippets describe the 2023 LlamaIndex version.
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Applied AI engineering · Prepare data and context · Simon Willison
Turn unstructured content into records you can inspect. Willison shows a complete path from an extraction schema to saved responses, JSON and SQLite, using his LLM tool. It is a small, visible workflow for testing data extraction before building a larger application.
Structured data extraction from unstructured content using LLM schemas
Follow the people-extraction example, reusable templates and export to SQLite. The post explains output-format failures; also compare the extracted fields with the original source. Model support describes the 2025 release.
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Crypto developers & researchers · Protocols & scaling · Anatoly Yakovenko
Anatoly explains Solana’s approach to transaction processing, hardware and latency. Read his technical work alongside Ethereum authors to compare the assumptions behind network designs. He is a creator of the network, so his perspective comes from inside the project.
Solana: A new architecture for a high performance blockchain
Read the abstract and Proof of History introduction for the original design question. This technical whitepaper is version 0.8.13; its model and performance discussion belong to the document’s context.
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Crypto developers & researchers · Research explainers · Anna Rose
Anna helps readers enter ZK through conversations with the people developing proof systems, languages and infrastructure. Her questions and links to original work make it easier to choose a research path. She hosts and edits the discussion; the guests’ cryptographic results keep their own authorship.
ZK Jargon Decoder with Nico Mohnblatt
Start at 09:45–21:06: Anna and Nico discuss proving, witnesses, privacy and the roles of prover and verifier, including Where’s Waldo. The video’s slides help; later sections are more technical.
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Crypto developers & researchers · Apps & developer tools · Austin Griffith
Austin offers a practical entry into Ethereum development through small applications. His teaching connects a contract, its frontend and what a user can do with it. Begin here if trying a prototype makes architectural terms easier to understand.
Intro to Scaffold-ETH 2 and SpeedRunEthereum!
The official Devcon workshop introduces the contract and frontend toolkit Austin helped build. It is presented for beginners and uses small projects as an entry point; follow current setup documentation alongside the recording.
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Crypto developers & researchers · Apps & developer tools · Dan Robinson
Dan examines how an application’s rules shape the behavior of its users and market participants. His AMM writing helps you see the liquidity model behind a swap interface. He writes as a researcher and General Partner at the investment firm Paradigm.
Uniswap v3: The Universal AMM
A technical explanation of representing market-making strategies through liquidity distributions. Begin with the model and examples, then the limits section; the 2021 article studies a mechanism rather than present trading conditions.
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Crypto developers & researchers · Protocols & scaling · Dankrad Feist
Dankrad separates making data available from executing it and considers the guarantees a blockchain provides. This is useful for reading L1 and L2 claims beyond transaction speed. His public biography places his protocol research at Tempo alongside an Ethereum advisory role.
What’s the core functionality of blockchains
A short starting model: publishing ordered data, then interpreting it. The fuller argument distinguishes present security from expectations about future rule changes; some later sections remain outline notes.
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Crypto developers & researchers · Apps & developer tools · Georgios Konstantopoulos
Georgios builds and explains infrastructure between a contract idea and a working application. His coauthored Foundry and Alloy materials give a developer’s view of testing and connecting code to a network. His roles at Paradigm and Tempo supply the institutional context.
Announcing: Foundry v1.0
A coauthored overview of the testing and debugging toolbox and the project’s v1.0 release. Use it to understand the tools’ jobs, then follow the project documentation for the version you use.
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Crypto developers & researchers · Protocols & scaling · Patrick McCorry
Patrick explains rollups through the database, available data and the rules that participants enforce. Read him when L2s, bridges and multisigs start sounding interchangeable. His writing includes an Arbitrum Foundation perspective and makes the system’s assumptions explicit.
Blockchain as a Database (Part 1)
Start with how participants compute copies of the same database, then read the public bulletin-board model of a rollup. This 2023 explanation gives vocabulary for evaluating a particular design.
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Crypto developers & researchers · Cryptography & ZK · Valeria Nikolaenko
Valeria studies the trust assumptions in cryptographic infrastructure, including setup ceremonies and data exchange. Her papers help a prepared reader ask who must act honestly for a system to work. They provide a research route; her public site describes her a16z role as historical.
Powers-of-Tau to the People: Decentralizing Setup Ceremonies
Read the abstract’s one-honest-participant assumption first, then the introduction to the coauthored protocols. The archive records receipt in November 2022 and revision in February 2024; the mathematical paper is advanced.
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Crypto developers & researchers · Protocols & scaling · Vitalik Buterin
Vitalik examines what Ethereum gains and loses when its protocol changes. His writing helps you look beyond an upgrade’s name to questions about complexity, checking computations and participation; these are proposals from a creator of the ecosystem.
Simplifying the L1
Start with why simplicity matters, then compare the consensus and execution sections. The article proposes architectural changes and explains their tradeoffs; it describes a direction of development.
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Crypto developers & researchers · Cryptography & ZK · Zac Williamson
Zac connects proof-system research to the goal of private applications. His work on PLONK and his privacy talks offer two levels of entry: the reason privacy matters and the cryptography behind it. Read these as a researcher and Aztec cofounder’s perspective.
PLONK: Permutations over Lagrange-bases for Oecumenical Noninteractive arguments of Knowledge
Start with the abstract of this coauthored paper to locate PLONK’s purpose and setup assumptions. The full mathematical argument needs cryptographic preparation.
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Crypto memes & culture · Communities & culture · 6529
6529 treats memes as a way large groups organize around shared ideas. The Memes project gives you a concrete route into his argument about art, remixes and decentralization. He is building the network and collections he discusses, so the text is also a project’s statement of purpose.
About The Memes
A short explanation of the collection’s goal and why it encourages broad copying and remixing. Separate the author’s cultural argument about shared symbols from any claim about the value of an individual card.
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Crypto memes & culture · Market commentary · Ansem
Ansem offers a trader’s view of Solana, memecoins and market attention. Compare his accounts of forming a thesis with his own project pitches: in The ANSEM Thesis he connects the token to his brand, Bullpen and Market Bubble and describes his stake and plans.
Ansem on Solana, altcoins, BONK and trading: interview transcript
Start with the early trade-journal discussion: he describes recording ideas, positions and mistakes so he can revisit his reasoning. This is his account of a process; the page’s December 2023 date is labelled ‘last updated’.
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Crypto memes & culture · Artists & creators · Batz
Batz reinterprets Pepe through geometry and visual series such as GeoMetric Pepes and Pepedenza. His work offers a concrete example of how one meme’s form can inspire other artists and projects. He creates and sells art; the starting point here is the work itself.
Batz: Modern Memeism on Opepen
The artist page links his Opepen sets and earlier series and explains their connection to Opepen’s geometry. Open a linked set to compare how the same recognizable figure can be reworked.
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Crypto memes & culture · Artists & creators · Beeple
Beeple connects digital art with internet meme culture through his work and events at Beeple Studios. PepeFest offers a specific entry into the images and community around Pepe. His art and commercial NFT projects span a broader range of subjects than crypto memes alone.
PepeFest at Beeple Studios
The studio’s account describes a community-led Pepe celebration, talks about the meme’s origins and an exhibition with work from over 200 artists. Begin with the cultural setting and the images rather than a token market story.
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Crypto memes & culture · Communities & culture · Billy Markus
Billy offers a creator’s perspective on how a joke becomes a coin and a community with expectations of its own. His Dogecoin FAQ helps distinguish a historical founder’s comments from the decisions of today’s maintainers; he says he no longer codes on the project.
Billy Markus’s Dogecoin FAQ
Begin with the questions about price, supply and his present role. The short answers show the limits of what a historical creator is offering to readers and who now maintains the project.
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Crypto memes & culture · Market commentary · Cobie
Cobie examines who owns token supply and what public market valuations leave out. His essays give you questions to apply to optimistic memecoin arguments, while covering crypto markets more broadly. His institutional connections include an advisory role at Paradigm.
New launches (part 1): private capture, phantom pricing
Read the distinction between private price discovery and supply available to public buyers. The essay connects token-launch incentives with the appeal of memecoins; its examples and market figures belong to May 2024.
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Crypto memes & culture · Artists & creators · Darkfarms
Darkfarms works with crypto meme art, collectible cards and remixes. He also launched BOOK OF MEME, giving you a view of the connection between making images and building a related token project. Read his project announcements with that commercial interest in view.
BOOK OF MEME presale announcement
This historical sale announcement makes the artist’s token-project interest explicit. Compare that role with the card catalogue on his own site when choosing whether to follow art or project promotion.
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Crypto memes & culture · Artists & creators · Jack Butcher
Jack explores how a simple sign gains meaning, status and value online through Checks and Opepen. His projects make the artist’s design and the collector’s participation visible. Read him as the creator of commercial art projects whose rules are part of the work.
Checks: how the artwork works
Start with the distinction between artist-controlled editions and collector-controlled originals. The page shows how migration and composition become part of the artwork’s design.
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Crypto memes & culture · Market commentary · Murad Mahmudov
Murad presents a market argument connecting memecoins with community identity and belonging. Read him to examine how those cultural observations become an investment thesis. He speaks as an investor and memecoin promoter, with a declared connection to the SPX6900 movement.
Murad’s Memecoin Supercycle video announcement
His own post introduces the linked talk and makes a forecast for 2025. It is a useful example of a promotional market claim: identify the premise and time horizon before weighing the argument.
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Crypto memes & culture · Artists & creators · Sartoshi
Sartoshi explains how the mfers character grew out of internet cartoons and became a shared language for a community. His writing connects the drawing to remixes, public-domain use and a community without a prescribed leader. He is the creator of the collection he describes.
what are mfers
The creator traces the character to the ‘are you winning son?’ meme and explains the decision to release the work as CC0. Read the passages about community-built projects and the absence of a prescribed roadmap.
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Crypto security & investigations · Personal security · Dan Guido
Dan Guido connects crypto theft to the security of devices, workflows and professional relationships. As cofounder and CEO of the security firm Trail of Bits, he offers a practitioner’s view of organizational defenses and their tradeoffs.
Mitigating ELUSIVE COMET Zoom remote control attacks
A concrete example of a fake media invitation leading to a remote-control request. Read the account of the approach first, then the discussion of permissions and organizational controls.
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Crypto security & investigations · Personal security · Jameson Lopp
Lopp explains Bitcoin self-custody through threat models and experiments with backups and physical storage. He is a cofounder and Chief Security Officer at Casa; read him to understand the choices a storage design makes and the risks it leaves open.
How to Back Up a Seed Phrase
The article maps the decisions behind a seed backup: loss, damage, theft and the people who may need access. Use the decision process to understand tradeoffs before comparing particular storage products.
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Crypto security & investigations · Audits & incident response · Luna Tong (cts)
Luna Tong explains how researchers approach contract audits and which kinds of findings deserve attention. As cofounder and CEO of Zellic, she writes from inside the audit industry; her technical guides are most useful to readers who already understand code.
The Auditooor Grindset
A technical introduction aimed at experienced vulnerability researchers. Start with the categories of contract problems and the discussion of reports; the career and market claims belong to the article’s 2022 context.
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Crypto security & investigations · Audits & incident response · Mudit Gupta
Mudit shows how a vulnerability emerges from a particular combination of contract calls and how an incident response unfolds. Read him when you want the mechanism behind a failure, with code and the people’s decisions kept in the same story.
A peek inside the MISO war room
The 2021 MISO story explains why batching and an otherwise reasonable payment function became dangerous together. The later sections show the coordination needed to address the bug; this is a historical incident account.
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Crypto security & investigations · Onchain investigations · Nick Bax
Nick Bax combines transaction analysis with historical data and case documents. His work in commercial crypto forensics is useful when an explorer alone cannot explain a theft or identify the evidence behind an allegation.
Anatomy of a Bitcoin Heist: The Electrum Atom Malware Saga
A historical case study of clipboard malware, transaction tracing and a civil complaint. Follow the distinction between the observed transfer, the researcher’s attribution and the allegations contested by the defendants.
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Crypto security & investigations · Personal security · Pablo Sabbatella
Pablo teaches the everyday security of accounts, messages and work devices used in crypto. His perspective includes his security and training venture Opsek; start with the kinds of access a message or call asks you to grant.
OpSec for the Dark Forest (or how to avoid getting rekt)
The official Devcon archive hosts this nine-minute talk. Its scope includes devices, email, social accounts, passwords, 2FA and social engineering—a compact route into the questions to ask about everyday access.
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Crypto security & investigations · Audits & incident response · pcaversaccio
pcaversaccio organizes examples of EVM failures and builds tools for examining what people sign. His collections help a developer move from the name of a bug class to concrete incidents and the code behind them.
Reentrancy Attacks
A maintained collection of reentrancy incidents and references. Choose one familiar protocol and follow its linked explanation; the collection brings together others’ findings as well as the maintainer’s work.
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Crypto security & investigations · Audits & incident response · samczsun
samczsun explains serious contract vulnerabilities and the response when funds are already at risk. His writing connects individual bugs to the incentives and continuing work needed to protect a protocol after launch.
Higher Bug Bounties Won’t Stop Hacks
A readable argument about the limits of tests, audits and bug bounties. Use it to ask how a team continues finding and addressing risk after its initial security checks.
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Crypto security & investigations · Personal security · Taylor Monahan
Taylor explains phishing, malicious software and the ways people are persuaded to grant access themselves. Her MetaMask writing helps you look beyond a wallet interface to the device, message and permissions around it.
Blockchain malware’s neverending novelty
The article asks what a blockchain actually does for a malware campaign. Start with the delivery chain and compare the headline about a novel technique with the practical route onto a victim’s device.
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Crypto security & investigations · Onchain investigations · ZachXBT
ZachXBT connects transaction trails with communications and other records in investigations of crypto theft and fraud. Read him to see which links come from the blockchain and which conclusions need additional evidence.
Investigation of the Genesis creditor theft
Start with the reused deposit address in this 2024 investigation: it shows how two flows can become connected. Read the author’s allegations alongside the evidence and subsequent case updates.
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LLM research & explanations · Foundations & explanations · Andrej Karpathy
Karpathy explains neural networks through implementations you can build and inspect. His Zero to Hero course starts with backpropagation, develops language modeling and builds a GPT. Follow the earlier language-modeling and PyTorch lessons before the Transformer lecture.
Neural Networks: Zero to Hero
Choose a lesson through the syllabus. Begin with micrograd if backpropagation is new; the GPT lesson assumes earlier language-modeling and PyTorch material. The course requires solid Python and introductory math.
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LLM research & explanations · Reasoning & evaluation · François Chollet
Inspect what a benchmark score measures. Chollet's ARC work asks how a system learns a new rule from examples; the coauthored 2024 competition report shows why the test split, adaptation method and compute budget matter when comparing results.
A grid puzzle and two different leaderboard conditions
Start with section 1's grid puzzle, then section 2's two leaderboards. Their different conditions explain why scores cannot simply be compared. The coauthored report covers the 2024 competition.
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LLM research & explanations · Foundations & explanations · Illia Polosukhin
Polosukhin coauthored Attention Is All You Need, the original Transformer paper, before founding NEAR. Read the architecture and attention sections to connect today’s language models to that work. The experiments measure translation and parsing; they preserve a specific context for the results.
Attention Is All You Need
Coauthored research. Start with Figure 1 and section 3 on the encoder, decoder and attention, then inspect the translation experiments in section 6. Familiarity with neural networks and matrix operations helps.
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LLM research & explanations · Reasoning & evaluation · Jason Wei
Understand what a step-by-step response establishes. Wei's coauthored prompting study tests intermediate reasoning examples against simpler prompts, while his SimpleQA work separately grades correct facts, wrong answers and non-attempts.
An example of prompting with intermediate steps
Figure 1 compares two prompts for the same math problem. Read it before the experiments, then section 6 on why fluent steps do not guarantee a correct answer. Wei is a coauthor.
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LLM research & explanations · Reasoning & evaluation · Lilian Weng
Weng explains why a higher evaluator score or a convincing chain of thought may fail to establish a better result. Start with the LLM examples in her reward hacking review, then read Why We Think for sampling, revision, reinforcement learning and checks of reasoning faithfulness.
Reward Hacking in Reinforcement Learning
Start with examples of coding models changing tests or reward code. Then follow the distinction between the intended goal and the score used to judge it. The review explains the mechanisms and surveys proposed mitigations.
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LLM research & explanations · Training & model systems · Nathan Lambert
Understand what happens after pretraining. Lambert's book distinguishes training on examples, preferred responses and verifiably correct answers; the team Tülu 3 paper shows how those stages fit into a released recipe with separate development and held-out tests.
A map of language-model post-training
Start with the recipe descriptions to separate examples, preference feedback and checked rewards. You can follow that overview before studying the equations.
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LLM research & explanations · Reasoning & evaluation · Noam Brown
Read Brown to connect learning, search and multi-agent reasoning. His coauthored game research shows the assumptions behind those methods; his interview explains why demonstrating many agents is different from measuring their benefit against smaller comparison runs.
Brown explains how to evaluate parallel agents
Read Brown's answers in the opening discussion of agent-count comparisons. The written transcript provides an accessible start before the search and reinforcement-learning papers.
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LLM research & explanations · Training & model systems · Sasha Rush
Rush connects coding models to their training and evaluation. His Composer 2 introduction leads to the coauthored report on continued pretraining, reinforcement learning and tests drawn from engineering work. His Annotated Transformer provides a deeper route into the architecture through Python code.
A technical report on Composer 2
Rush introduces two training stages and explains why the team's evaluations include ambiguous requests and changes across several files. Continue to the linked report for the experiments and evaluation setup behind the claims.
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LLM research & explanations · Foundations & explanations · Sebastian Raschka
Raschka connects model diagrams to small implementations you can inspect. Begin with his attention tutorial, then follow LLMs from Scratch from tokens to a GPT-style model, pretraining and fine-tuning. Python knowledge helps; an introductory appendix covers PyTorch basics.
Understanding and Coding the Self-Attention Mechanism of Large Language Models From Scratch
Follow a six-word sentence from vectors through queries, keys and values to a context vector. The diagrams and PyTorch calculations explain attention. Continue with LLMs from Scratch for the model and training loop.
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LLM research & explanations · Reasoning & evaluation · Stella Biderman
Study how a behavior develops during training. Biderman's coauthored Pythia suite exposes comparable checkpoints and data order, and her memorization work tests what cheaper runs can predict. Her 2026 position paper explains the research question before the technical experiments.
Why study a model while it is being trained?
Sections 2.1 and 2.2 distinguish describing a finished model from predicting how its behavior develops. This coauthored position paper is a research agenda and needs no detailed experimental background to start.
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LLM research & explanations · Reasoning & evaluation · Thomas Wolf
Wolf's Einstein AI essay asks what a hard exam score establishes about scientific discovery. Follow it with his coauthored DistilBERT paper for a concrete comparison of model size, task performance and inference time. Together they show how an evaluation's design determines what you can conclude.
The Einstein AI model
Wolf argues that answering known questions and generating useful new research questions need different tests. Read this as a proposed research direction: the essay leaves the design of a scientific-discovery benchmark open.
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LLM research & explanations · Training & model systems · Tri Dao
Dao and collaborators explain how memory movement and GPU scheduling affect model speed. Start with the FlashAttention-3 recap, then explore Mamba-3 to compare a fixed-size state with an expanding attention cache. The examples connect algorithm choices to hardware and retrieval tradeoffs.
FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision
The coauthored recap explains processing attention in small memory blocks. Later sections show overlapping GPU operations and precision tradeoffs. Check the hardware and operation measured before applying a speed comparison to your own model.
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Local models & open projects · Run on your device · Georgi Gerganov
Move from a downloaded model to a program on your device. Gerganov created llama.cpp for language models and whisper.cpp for speech transcription; their documentation gives installation choices and shows how model size affects memory needs.
Run a language model with llama.cpp
Begin with Quickstart and supported hardware. Choose a model that fits your device; the runtime license and the model license are separate. This is documentation for a project he created and the community maintains.
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Local models & open projects · Understand memory and speed · Sasha Rush
Inspect the pieces inside a local runtime. Rush and Rachit Singh’s small Rust implementation makes model conversion, mapped weights and decoder settings visible, so you can connect a program’s settings to its memory and computation.
Read a small local runtime
Start with “How does it work?”, then the model configurations. This is an educational Rust implementation of Llama 2, building on llama2.c; Rust familiarity helps when inspecting the code.
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Local models & open projects · Run on your device · Sebastian Raschka
Connect a local model to a coding agent and decide whether the combination helps your task. Raschka separates the model runtime from the agent client, then compares speed, memory use and tool-call performance in his own tests.
Using Local Coding Agents
Read sections 3–5: setup, speed and memory, then tool-use tests. They show why fast text generation and successful agent tasks need separate measurements.
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Local models & open projects · Choose and adapt a model · Thomas Wolf
Understand what you are downloading before choosing a reusable model. Wolf coauthored the Transformers library paper: it links tokenizer, model and task head, then explains model cards that record training context and intended use.
The parts of a reusable model
Start with section 3 and Figure 2, then section 4 on model sharing. This coauthored 2019 paper explains the design; current installation instructions live in the library documentation.
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Local models & open projects · Choose and adapt a model · Tim Dettmers
Separate saving memory during inference from adapting a model. Dettmers explains lower-precision numbers with small examples; the coauthored QLoRA paper shows how a frozen base model can be adapted with a small trainable addition.
Why fewer bits can change a model’s answers
Begin with the quantization examples, then Mixed precision decomposition. They connect smaller numbers, rounding errors and the separate handling of unusually large values.
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Local models & open projects · Understand memory and speed · Tri Dao
Ask why memory use grows as a conversation gets longer. Dao’s coauthored Mamba-3 explanation compares a fixed-size state with an expanding attention cache and connects that choice to decoding cost and retrieval quality.
Memory, decoding and retrieval in Mamba-3
Start with “The Mamba-3 Model” and the retrieval comparisons. The latency tests use specified server GPUs; use them to understand the mechanism before drawing conclusions about your own hardware.
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Vibe coding & coding agents · Engineering & evaluation · Addy Osmani
Addy explains how to keep agent-written changes inspectable: start with a specification, work in small steps and check the running result. His engineering essays also cover the tools, context and evaluations around a model.
My LLM coding workflow going into 2026
Follow the specification, small-change and testing sequence. It gives you a concrete way to organize an AI coding session.
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Vibe coding & coding agents · Builders & products · Amjad Masad
Replit's founder explains the move from an editor to creating software through natural language. His own essays connect the product vision to concrete infrastructure choices, including parallel agents and reversing their changes.
How to Keep Winning
Read the Replit pivot in section one, then the filesystem example in section four: earlier infrastructure supported new agent workflows.
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Vibe coding & coding agents · Engineering & evaluation · Andrej Karpathy
Read Karpathy for the original description of building through conversation, then explore autoresearch to see an agent change code, run an experiment and measure the result. A useful route from the phrase vibe coding to the mechanics of a repeatable agent task.
Vibe coding: the original description
Karpathy describes asking a model for changes while the code recedes from view. Read the original example before comparing other agent workflows.
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Vibe coding & coding agents · Agent workflows · Boris Cherny
The creator of Claude Code explains how the tool fits into a developer's workflow and shares his own setup. Read him for project instructions, reusable commands, planning and a way for the agent to verify its changes through tests or a browser.
Claude Code: Anthropic's Agent in Your Terminal
In this interview with Cat Wu, Cherny explains terminal access, simple project memory and reusable commands. The transcript makes it an accessible first read on why a coding agent is designed this way.
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Vibe coding & coding agents · Agent workflows · Geoffrey Huntley
Read Ralph for an agent loop with specifications and feedback from builds or tests. Then explore Jiti, a running application that gains functions through conversation. Huntley gives you two concrete approaches to repeated development with an agent.
Ralph Wiggum as a "software engineer"
A compiler experiment explains the loop: one task at a time, specifications, a fresh context and feedback from builds or tests.
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Vibe coding & coding agents · Builders & products · Peter Steinberger
The creator of OpenClaw documents building his own apps and command-line tools with agents. His workflow posts connect prompts, screenshots, iteration and refactoring to real projects, with the October guide and December update showing how his approach evolved.
Just Talk To It - the no-bs Way of Agentic Engineering
A detailed account of steering agents while building apps: discuss options, show a screenshot, keep changes understandable and maintain the code. Read it as Steinberger's experience developing his own projects.
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Vibe coding & coding agents · Builders & products · Pieter Levels
Pieter shares the working setup of a solo developer building products with AI: agents on remote machines, switching devices and interactive app previews. His project archive connects those notes to products and the Vibe Jam competition he organizes.
A year of coding on a VPS with Claude Code
His remote setup explains how one coding session stays available across devices, and what he would change for a team.
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Vibe coding & coding agents · Agent workflows · Riley Brown
Riley makes AI app ideas concrete by connecting a service's input and output to a particular user workflow. His writing also asks what an app contributes when competitors can use the same model.
AI Wrapper Startups: What They Are & Why They Matter
Start with his definition of an app built around another company's AI, then compare niche knowledge, distribution and API dependence.
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Vibe coding & coding agents · Engineering & evaluation · Simon Willison
Willison explains when a quick AI-built experiment is useful and what you need to understand before maintaining or sharing it. Follow his essays with the Agentic Engineering Patterns guide for concrete ways to test generated code and ask for a source-based walkthrough.
Not all AI-assisted programming is vibe coding (but vibe coding rocks)
A clear introduction to the original meaning of vibe coding and the responsibilities that appear when other people depend on an app. Useful before deciding how much code review and testing your own project needs.
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Vibe coding & coding agents · Agent workflows · Steve Yegge
Steve's Beads and Gas Town writing tackles forgotten tasks, session handoffs and agents working in parallel. Read him when a growing coding workload needs a persistent record and coordination beyond one chat.
Beads Best Practices
Start with planning outside Beads and recording task dependencies. Then see how the next agent session can resume that work.
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Profile references in this snapshot
These recorded notes describe the public references used for each profile. They are not a claim that every reference supports every linked work, or that two copies are independent evidence.
6529 · 6 references
Arguments for public-blockchain ownership of digital objects and for using widely shared art to spread decentralization ideas.
Profile sources checked .
- The official project introduction links @punk6529 and explains The Memes and the open-metaverse position. It is project authorship, not a claim that he painted every card. · Reference in the current profile
- His own dated launch thread explains The Memes, credits artists and describes the scope of public-domain reuse. · Reference in the current profile
- His own dated thread opener establishes the public-blockchain ownership thesis. · Reference in the current profile
- A readable copy of his launch thread; selected statements were checked against X's own syndication response. · Reference in the current profile
- A readable reproduction of the thread used to assess its progression. Selected posts were also checked against X's own syndication response. · Reference in the current profile
- The project's explanation of its network, art collection and participation model. · Reference in the current profile
Addy Osmani · 3 references
Practical ways to plan, inspect and test software made with coding agents, from a small change to a team's development process.
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- His current biography identifies his Anthropic role and describes Google as previous employment. · Reference in the current profile
- His author site links his X account, writing and projects. · Reference in the current profile
- His current public profile identifies work on Claude Code at Anthropic. · Reference in the current profile
Amjad Masad · 3 references
The product and infrastructure thinking behind Replit's move from a coding editor to building software through natural language.
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Anatoly Yakovenko · 3 references
Original architecture writing on Solana's Proof of History and the coordination of distributed computers. His work explains the engineering problem behind the network's performance-oriented design.
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- Solana's official media page names Anatoly Yakovenko and directly links @aeyakovenko. · Reference in the current profile
- The primary whitepaper identifies Yakovenko as its author and states version 0.8.13. · Reference in the current profile
- The Solana publication credits Yakovenko with the explainer and describes his founder role. · Reference in the current profile
Andre Cronje · 2 references
The creator of Yearn and Keep3r explains collateral, liquidity incentives and the market structure behind his current Flying Tulip project.
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Andrej Karpathy · 3 references
Explains how language models change software development, from his original description of vibe coding to experiments where an agent changes training code and measures the result.
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- Karpathy's own biography links his X account, teaching, writing and code projects. · Reference in the current profile
- His own announcement on 19 May 2026 of joining Anthropic and returning to research and development. · Reference in the current profile
- The dated Bitcoin implementation tutorial establishes a substantive connection to crypto education. · Reference in the current profile
Anna Rose · 3 references
Interviews and explanatory conversations about zero-knowledge systems and the people building them. Her questions offer a reading route from basic proof vocabulary to research tools and design choices.
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- The project's event page connects Anna Rose with the same X account and the podcast. · Reference in the current profile
- The official episode page links @AnnaRRose and its transcript. · Reference in the current profile
- The official transcript records the speakers' questions and answers, including the Lean and SMT comparison. · Reference in the current profile
Ansem · 3 references
Market theses, Solana and memecoin discussions, with a trading-journal interview and his own creator-project thesis to read first.
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Austin Griffith · 2 references
Practical demonstrations of building contracts and connecting them to an interface with Scaffold-ETH. His lessons use small applications and deliberately broken examples to make contract behavior visible.
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Batz · 4 references
Modern Memeism: recognizable meme figures rebuilt with geometry, seen in GeoMetric Pepes, Pepedenza and his Opepen contributions.
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- The project connects the name Batz, @batzdu, Modern Memeism and the two Opepen sets. · Reference in the current profile
- The gallery identifies batzdu as Batz, links the X account and attributes the artworks. · Reference in the current profile
- Artwork image, artist attribution, description and September 22, 2022 mint date. · Reference in the current profile
- Artwork image, artist attribution and January 6, 2023 mint date. · Reference in the current profile
Beeple · 1 references
Daily digital art, visual satire and studio events that connect internet imagery with a physical audience.
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Billy Markus · 1 references
Dogecoin's origins and network questions, paired with the dry internet humor of Shibetoshi Nakamoto.
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Blockchain Capital · 2 references
Team essays on tokenization, financial infrastructure and the incentives of platforms that host crypto applications.
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Boris Cherny · 3 references
Explains the design of a coding agent and shares how he uses it in everyday work, including project instructions, reusable commands and ways to verify a change.
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- His own current biography states that he is a software engineer at Anthropic who created Claude Code, and links @bcherny. · Reference in the current profile
- Anthropic's recorded event identifies Cherny as a member of the Claude Code creator team and technical staff. · Reference in the current profile
- The original interview pairs Cherny with Claude Code product manager Cat Wu and includes his direct account of building the tool. · Reference in the current profile
Brian Jung · 3 references
Video-led explanations of investment research, market theses and the creator's own process, alongside Kaizen.
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- His own site links the video channel, individual videos, Jung Media and Kaizen. · Reference in the current profile
- The channel linked from his own site; its video descriptions identify the same X handle. · Reference in the current profile
- His public X profile connects his YouTube work and Kaizen. · Reference in the current profile
Changpeng Zhao (CZ) · 3 references
A founder's perspective on building organizations, custody and decentralization, alongside his current education project.
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- His current profile links Binance, YZi Labs and Giggle Academy. · Reference in the current profile
- The project's own introduction confirms his founder role and former Binance CEO status. · Reference in the current profile
- Binance's biography of Richard Teng confirms the November 2023 CEO transition. · Reference in the current profile
Chip Huyen · 3 references
Explains how to turn foundation models into applications, with attention to tools, planning, evaluation and the cost of running the system.
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- Huyen’s own current biography identifies her as a writer and computer scientist, lists her books and links @chipro. · Reference in the current profile
- The dated Chip Huyen byline identifies the author and explains the book-excerpt context. · Reference in the current profile
- Current X title confirms Chip Huyen and @chipro; chiphuyen is not the selected X handle. · Reference in the current profile
Chris Olah · 3 references
Studies the internal features and circuits of neural networks, connecting visual explanations to experiments on why a particular model produces a particular response.
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- His own biography confirms Anthropic co-founder and interpretability work, distinguishes earlier OpenAI and Google Brain roles, and links @ch402. · Reference in the current profile
- Current metadata names Chris Olah and describes neural-network reverse engineering at Anthropic. · Reference in the current profile
- The author list and contribution statement credit Olah alongside the team, including methodology, introduction and research guidance. · Reference in the current profile
Cobie · 2 references
Essays that examine token-launch pricing, uncertainty and the competition for attention in crypto markets.
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Cyclop · 1 references
Illustrated threads about market capitalization, liquidity and wallet research, with concrete examples you can follow back to the underlying tools and transactions.
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Dan Guido · 3 references
Connects crypto theft to devices, signing workflows and organizational controls, drawing on the work of the security firm he co-founded.
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- Own site identifies his Trail of Bits role and links x.com/dguido and GitHub. · Reference in the current profile
- Own byline and the firm's account of the attempted social-engineering approach. · Reference in the current profile
- Names all three authors and dates the initial response to the Bybit incident. · Reference in the current profile
Dan Robinson · 1 references
Research on market mechanisms, adversarial blockchain execution and practical uses of cryptography.
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Dankrad Feist · 2 references
Research on blockchain data availability, cryptographic commitments and protocol design. His writing separates publishing data from executing transactions, then shows how that distinction affects scaling.
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Darkfarms · 4 references
Pepe-derived art, visual jokes about crypto speculation and his own BOOK OF MEME (BOME) presale announcement.
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- The representing gallery links @Darkfarms1 and attributes the listed artworks to Darkfarms. · Reference in the current profile
- The artist's gallery profile links both his X account and darkfarms.wtf. Collected pieces on this page are not all works he created. · Reference in the current profile
- The artwork, artist attribution, description and December 15, 2024 mint date. · Reference in the current profile
- His own dated presale announcement; the accessible text confirms the contribution window and allocation wording. · Reference in the current profile
DCF GOD · 1 references
Token-valuation arguments built around buybacks, business comparisons and disclosed investment interests.
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Dragonfly · 2 references
Team research on token incentives, compensation and airdrop design, with the underlying methods available to read.
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Ethereum Name Service (ENS) · 3 references
Original explanations of blockchain names, permissions and identity, connecting ENS product announcements to the designs published by ENS Labs.
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- Current project description and direct @ensdomains link. · Reference in the current profile
- The author information identifies ENS Labs as the nonprofit responsible for core ENS software development. · Reference in the current profile
- The project's governance surface provides the DAO context. · Reference in the current profile
Eugene Yan · 3 references
Explains product-specific evaluations through labeled data, calibrated model judges and repeatable experiments, with an app you can inspect.
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- His current biography links @eugeneyan and describes applied AI work and personal prototypes. His Anthropic Member of Technical Staff affiliation is a current first-person biography statement, not an independent employer check. · Reference in the current profile
- The author’s dated walkthrough identifies AlignEval as his project and links its code. The citation uses the publication name Ziyou Yan. · Reference in the current profile
- Current public X title identifies Eugene Yan and @eugeneyan, consistent with the author-site link. · Reference in the current profile
Frank DeGods · 4 references
A founder's view of NFT communities, creative decisions and the challenge of building beyond a public persona.
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- His project profile connects the Frank persona, X account and writing archive. · Reference in the current profile
- His original Q&A announcement establishes the September 2022 publication date. · Reference in the current profile
- His follow-up statement explains the handover after three years with DeGods and y00ts. · Reference in the current profile
- Current profile links Paste; the CEO role is described historically. · Reference in the current profile
François Chollet · 5 references
Created Keras and ARC, and examines how to distinguish learned task performance from the ability to solve unfamiliar problems.
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- His current personal site links @fchollet and identifies Ndea, ARC Prize, Keras and the selected papers. · Reference in the current profile
- Current X metadata names François Chollet and lists Ndea, ARC Prize, Keras and ARC-AGI. · Reference in the current profile
- The company's primary team page confirms the co-founder relationship. · Reference in the current profile
- Read for the proposed definition, ARC design and its acknowledged weaknesses. · Reference in the current profile
- Read for leaderboard conditions, compute budgets and the 2024 methods comparison. · Reference in the current profile
Geoffrey Huntley · 4 references
Explores coding agents as repeatable systems, from the Ralph loop to a Lisp application that acquires new capabilities through conversation.
Profile sources checked .
- His own contact page links the GeoffreyHuntley X account and other public channels. · Reference in the current profile
- Huntley describes his writing as his own views and explains his focus on helping software engineers work with AI. · Reference in the current profile
- His own announcement on 24 July 2026 of joining Antithesis, accompanied by his views on software verification. · Reference in the current profile
- The implementation linked from his own Jiti article documents its conversational interface and persistent Lisp environment. · Reference in the current profile
Georgi Gerganov · 2 references
Builds software for running language and speech models on your own hardware. His project documentation connects a model download to a working local program.
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Georgios Konstantopoulos · 1 references
Coauthored work on Foundry and Alloy explains the tools used to test contracts and build Ethereum applications. His project writing connects developer experience to testing, debugging and maintainable interfaces.
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Hamel Husain · 3 references
Shows how to inspect real application traces, define useful failure criteria and check automated evaluators against domain experts.
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- His current author site identifies him as a machine learning engineer, describes evaluation teaching and writing, and links @HamelHusain. Airbnb and GitHub are presented as previous work. · Reference in the current profile
- The dated announcement names Hamel Husain and Shreya Shankar as authors and links the project repository. · Reference in the current profile
- Current public X title identifies Hamel Husain and @HamelHusain, consistent with his author-site link. · Reference in the current profile
Harrison Chase · 3 references
Explains the surrounding software that lets a model take actions: agent loops, durable execution, memory and the context passed between workers.
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- The company’s own history identifies Chase as the original project author and company cofounder. · Reference in the current profile
- His bylined essay links his own @hwchase17 post. · Reference in the current profile
- Current X title identifies Harrison Chase and @hwchase17; the bio is self-reported context. · Reference in the current profile
HashKey Capital · 3 references
Institutional perspectives on digital asset treasuries and blockchain payment infrastructure, with research that maps business models and their assumptions.
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- Current business descriptions and a direct link to @HashKey_Capital. · Reference in the current profile
- Official research index gives the publication dates for both selected reports. · Reference in the current profile
- A dated HashKey Group release explicitly links the same Capital website and X handle. · Reference in the current profile
Illia Polosukhin · 2 references
Blockchain and AI design, from coauthored machine-learning papers to NEAR's approach to programmable money.
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Jack Butcher · 1 references
Art projects that turn familiar internet symbols into questions about verification, ownership and participation.
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Jameson Lopp · 1 references
Practical research on protecting private keys, planning recovery and testing the physical durability of seed backups.
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Jason Liu · 3 references
Connects structured model outputs and retrieval design to measurable application quality, with practical ways to inspect data and improve search.
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- His current author site links @jxnlco and identifies him as Instructor’s creator. It describes his Codex developer-experience role at OpenAI as his own current account; old consulting offerings are closed. · Reference in the current profile
- The Jason Liu byline, author-profile link and visible publication date establish authorship and the selected first read. · Reference in the current profile
- Current public X metadata identifies jason and @jxnlco, consistent with the outgoing link on his author site. · Reference in the current profile
Jason Wei · 4 references
Coauthored research on prompting models to produce intermediate reasoning steps and on testing whether short factual answers are correct.
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- His current site identifies Meta Superintelligence Labs, dates his former OpenAI work and links @_jasonwei. · Reference in the current profile
- Current X metadata names Jason Wei, lists Meta and links his personal website. · Reference in the current profile
- Read for the prompting setup, ablations and limitations; Wei is one of nine authors. · Reference in the current profile
- Read for data construction, grading, calibration and the short-answer scope; Wei shares equal-contribution credit. · Reference in the current profile
Jeremy Allaire · 2 references
Circle's perspective on stablecoins, financial infrastructure and the purpose of Arc.
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Jerry Liu · 4 references
Connects document parsing and retrieval to structured workflows that apply business rules and update other systems.
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- Liu’s own older site links @jerryjliu0 and his original GPT Index project; its Robust Intelligence job text is historical. · Reference in the current profile
- The company’s bylined coauthored article identifies Liu as a LlamaIndex cofounder. · Reference in the current profile
- The current original article provides the Jerry Liu byline and document-workflow examples. · Reference in the current profile
- Current X title confirms Jerry Liu; its cofounder/CEO bio is self-reported context. · Reference in the current profile
Jesse Pollak · 1 references
An inside view of Base's network direction, upgrades and the people building on it.
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Johann Rehberger · 2 references
Investigates how instructions hidden in webpages, code and tool responses can redirect AI agents, with concrete attack reports and the permissions that made them possible.
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Jump Crypto · 3 references
Technical explanations of onchain market structure and Solana infrastructure, including the team's own trading systems and proposed cryptographic upgrades.
Profile sources checked .
- Jump Crypto's own site describes its trading, building and investing activities. · Reference in the current profile
- Jump Trading Group's official-channel list includes jumpcrypto.com and @jump_. · Reference in the current profile
- The team's December 2022 account explains Firedancer's architecture and testing goals. · Reference in the current profile
Kai Greshake · 3 references
Explains indirect prompt injection: an attacker places instructions in material an AI application retrieves, then uses the application’s capabilities to influence its behavior.
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- His current biography says he works on AI security at NVIDIA and directly links @KGreshake. · Reference in the current profile
- Current name and bio agree with his own-site identity and NVIDIA role. · Reference in the current profile
- The repository links the coauthored paper and documents the illustrated attack scenarios. · Reference in the current profile
Lido · 2 references
The protocol's own explanations of staking infrastructure, DAO decisions and token economics, with links to the mechanisms behind its announcements.
Profile sources checked .
Lilian Weng · 4 references
Connects reasoning and reinforcement learning methods to their failure modes, including models that improve an evaluator's score without completing the intended task.
Profile sources checked .
- Her own FAQ identifies @lilianweng as the account for updates to this blog. · Reference in the current profile
- The dated byline and citation identify Weng as the review's author; she acknowledges John Schulman's feedback and direct edits. · Reference in the current profile
- The original GPT-4 contribution record documents her historical applied research and evaluation work. · Reference in the current profile
- The dated byline identifies Lilian Weng; the text separates her review from the original studies and defines its inference-time scope. · Reference in the current profile
Luna Tong (cts) · 3 references
Explains how vulnerability researchers approach smart-contract audits and how to question the metrics used to sell audit competitions.
Profile sources checked .
- Her public profile uses cts, describes Zellic co-foundership and directly links gf_256. · Reference in the current profile
- The current company page gives the Luna Tong name and leadership role. · Reference in the current profile
- The Luna Tong byline and the closing reference to co-founder cts connect the writing to the public pseudonym. · Reference in the current profile
Machi Big Brother · 2 references
Firsthand proposals about rewarding social-network users and turning an NFT collection into a community project.
Profile sources checked .
Mantle · 2 references
The project's own explanations of its network architecture and the staking and restaking products in its ecosystem.
Profile sources checked .
Max Woolf · 3 references
Publishes detailed image-generation experiments with prompts, outputs and failed constraints. His articles help turn a visual idea into instructions that can be checked against the resulting image.
Profile sources checked .
- His own site identifies Max Woolf as @minimaxir and describes his BuzzFeed role as former. · Reference in the current profile
- Current public profile metadata links his own site and also marks BuzzFeed as a former affiliation. · Reference in the current profile
- The repository names Max Woolf as its creator and maintainer and documents the image-editing workflow. · Reference in the current profile
Mudit Gupta · 3 references
Explains contract failures through code, threat models and the practical decisions made during incident response.
Profile sources checked .
- His own index of educational threads links Mudit__Gupta, with two underscores. · Reference in the current profile
- Own byline and first-person account distinguish his review and response participation from a full MISO audit. · Reference in the current profile
- Own dated auditing notes explain the reading sequence and the limited scope of the accompanying exercise. · Reference in the current profile
Murad Mahmudov · 3 references
A public thesis about memecoins, market cycles and the role of committed communities in sustaining attention.
Profile sources checked .
Nathan Lambert · 4 references
Explains how training examples, preference comparisons and verifiable rewards turn a pretrained language model into a more useful assistant.
Profile sources checked .
- His current biography identifies the Trillium role and links his book and research. · Reference in the current profile
- Distinguishes his current work from his former post-training role at Ai2. · Reference in the current profile
- Current X metadata names Nathan Lambert, describes Trillium and links natolambert.com. · Reference in the current profile
- The version read for the training recipe, verification method and evaluation split. · Reference in the current profile
Neel Nanda · 4 references
Explains how to inspect and intervene on model internals, separating a useful hypothesis about a mechanism from evidence that a causal test supports it.
Profile sources checked .
- His current own biography says he runs Google DeepMind’s mechanistic interpretability team and links @NeelNanda5. · Reference in the current profile
- Current name and bio agree with his own-site identity and team role. · Reference in the current profile
- The byline identifies Nanda; he credits the earlier Anthropic team for work underlying this personal write-up. · Reference in the current profile
- The current project README credits him as creator and names separate maintainers. · Reference in the current profile
Nick Bax · 3 references
Connects transaction trails with malware analysis, archived exchange data and case documents to explain how a crypto investigation is built.
Profile sources checked .
- Public GitHub profile under the name Nick Bax and owner of the research repository. · Reference in the current profile
- His March 2026 Gist links x.com/bax1337. · Reference in the current profile
- His bylined case study discloses Five I's LLC consulting and expert-witness services in its 2023 context. · Reference in the current profile
Noam Brown · 4 references
Researches reasoning, reinforcement learning and multi-agent systems, with earlier coauthored work on poker search and language-guided negotiation.
Profile sources checked .
- His current biography identifies OpenAI, describes his research and links @polynoamial. · Reference in the current profile
- Current X metadata names Noam Brown, identifies OpenAI and links noambrown.com. · Reference in the current profile
- Read for the hidden-information example, method and restricted theoretical guarantees. · Reference in the current profile
- The dated interview transcript separates Brown's answers from the host's framing. · Reference in the current profile
Orangie · 1 references
A creator’s perspective on crypto trading as online media: audience formats, public events and the practical work of running finance-focused channels.
Profile sources checked .
Pablo Sabbatella · 3 references
Explains account, password-manager and device security for people and teams that work with crypto.
Profile sources checked .
- Own site describes his security work, founding of Opsek and the PabloSabbatella account. · Reference in the current profile
- The publisher's author page connects him to the two written guides and states his Opsek role. · Reference in the current profile
- The conference record names him as speaker and gives the talk's scope, duration and November 2024 event month. · Reference in the current profile
ParaFi · 2 references
Team research on stablecoins, prediction markets and financial infrastructure, with named authors and notes that explain what each chart measures.
Profile sources checked .
Patrick Esser · 4 references
Coauthors research on directing visual generation with an existing image or video. His papers separate the desired appearance from the structure and continuity that an edit should preserve.
Profile sources checked .
- His named GitHub profile links @pess_r and the CompVis research repositories. · Reference in the current profile
- Current public profile metadata identifies Patrick Esser, links his GitHub and associates his visual-generation work with @bfl_ml. · Reference in the current profile
- The original author record names Esser, Chiu, Atighehchian, Granskog and Germanidis and gives the first submission date. · Reference in the current profile
- The current collaborative report includes Esser and Rombach among the authors. · Reference in the current profile
Patrick McCorry · 2 references
Explanations of rollups, replicated databases and protocol governance. His writing connects the architecture of an L2 to the people and mechanisms that can change its rules.
Profile sources checked .
Pavel Durov · 2 references
Telegram's product perspective and his own statements about TON's history, upgrades and future plans.
Profile sources checked .
pcaversaccio · 3 references
Maintains a reentrancy incident collection and builds tools for checking the transaction data a multisig signer is asked to approve.
Profile sources checked .
- Own public profile links the same X handle and personal site. The profile uses the public pseudonym pcaversaccio. · Reference in the current profile
- Repository ownership and README establish the collection's scope; they do not assign every discovery to its maintainer. · Reference in the current profile
- Own repository documents API dependencies and the limits of transaction-hash verification. · Reference in the current profile
Peter Steinberger · 3 references
Publishes detailed accounts of building applications with coding agents and the tools that grew out of that work, including OpenClaw and Oracle.
Profile sources checked .
- His own site ties his name to @steipete, GitHub and the dated workflow posts. · Reference in the current profile
- His own February 2026 announcement describes creating OpenClaw and joining OpenAI. · Reference in the current profile
- The current project site confirms foundation stewardship and states that Steinberger works at OpenAI. · Reference in the current profile
Pieter Levels · 4 references
A solo developer's account of building products with coding agents, remote development machines and interactive previews.
Profile sources checked .
- His author site identifies Pieter Levels as @levelsio and links X. · Reference in the current profile
- His current archive links the products and describes his Vibe Jam involvement. · Reference in the current profile
- His own X profile links the AI products he builds. · Reference in the current profile
- His dated and bylined account establishes the video-editor workflow; its proposed agent sidebar is not treated as shipped. · Reference in the current profile
Pow · 1 references
First-person notes on positions, losses and public trade commentary, including the incentives that shape how traders share their calls.
Profile sources checked .
Riley Brown · 5 references
Explains how a small app can connect AI services to a specific user problem, and how to demonstrate the result.
Profile sources checked .
- His public link hub connects his creator channels and previous X handle. · Reference in the current profile
- The publication's author directory identifies him as a contributor and app-building creator. · Reference in the current profile
- An original interview with a published transcript and a link to his current X account. · Reference in the current profile
- An original post from the account previously named @rileybrown_ai, now returned by X as @rileybrown. · Reference in the current profile
- His current public profile links Agent Native. · Reference in the current profile
Robin Rombach · 4 references
Connects image-model foundations to research on editing with visual references. His coauthored papers offer a path from latent diffusion to maintaining a subject through successive image changes.
Profile sources checked .
- His named GitHub profile links @robrombach and the CompVis repositories; its older PhD biography is not used as a current role. · Reference in the current profile
- Current public profile metadata identifies Robin Rombach and links Black Forest Labs. · Reference in the current profile
- His first-person statement, published 18 June 2026, explicitly identifies him as cofounder and CEO. · Reference in the current profile
- The author record establishes the collaborative authorship and original submission date of latent-diffusion research. · Reference in the current profile
samczsun · 2 references
Exploit analysis and security strategy that connect smart-contract flaws with infrastructure, people and incident response.
Profile sources checked .
Sander Dieleman · 3 references
Explains how generative models move from noise to an image and how guidance changes that path. His illustrated essays connect a model control to both stronger conditioning and visible distortions.
Profile sources checked .
- His own biography identifies his Google DeepMind research and distinguishes contributions to image, video and music work. · Reference in the current profile
- His author site links the @sedielem account. · Reference in the current profile
- Current public profile metadata names Google DeepMind and links sander.ai. · Reference in the current profile
Sartoshi · 3 references
The creator's account of a stick-figure meme becoming mfers, a CC0 art collection built around community-made derivatives.
Profile sources checked .
- An essay by Sartoshi documenting his authorship, the collection's origin and CC0 approach. · Reference in the current profile
- The author explicitly connects the old @sartoshi_nft account to the announced @sartoshi_rip handle and gives his account of the handover. · Reference in the current profile
- A March 29, 2024 post from @sartoshi_rip announcing mfercoin material confirms the handle was used after the planned return. · Reference in the current profile
Sasha Rush · 4 references
Makes model research inspectable through annotated code and training reports, from a Transformer implementation to the training and evaluation of a coding model.
Profile sources checked .
- His current site identifies his Cursor research, lists his earlier Harvard, Cornell and Hugging Face roles as past, and links @srush_nlp. · Reference in the current profile
- Cursor's original article carries Sasha Rush's dated byline and links the technical report. · Reference in the current profile
- The author record includes Alexander M. Rush, the name used in his academic publications. · Reference in the current profile
- Original material read for the local-model selection. · Reference in the current profile
Sebastian Raschka · 4 references
Explains language models through small implementations, connecting tokens and attention to the code for building, training and adapting a GPT-style model.
Profile sources checked .
- His current biography describes his LLM research engineering and writing, distinguishes earlier university and Lightning AI roles, and links @rasbt. · Reference in the current profile
- His book companion hub documents the chapter sequence and links the official implementation. · Reference in the current profile
- The implementation connects token inputs, causal attention, transformer blocks and next-token generation. · Reference in the current profile
- Original material read for the local-model selection. · Reference in the current profile
Shunyu Yao · 3 references
Studies how models alternate reasoning with actions, then tests whether tool-using agents complete requests consistently across conversations.
Profile sources checked .
- Yao’s own research site links @ShunyuYao12 and lists both coauthored projects. Its February 2025 OpenAI role text is historical. · Reference in the current profile
- The author record and original submission date establish Yao’s coauthorship of τ-bench. · Reference in the current profile
- Current X title confirms Shunyu Yao and @ShunyuYao12. The current bio states Language agents; no employer claim is inferred. · Reference in the current profile
Simon Willison · 5 references
Turns experiments with coding agents into explanations of what to build, how to inspect the result and how to keep learning from code a model wrote.
Profile sources checked .
- His own current biography and disclosures describe his independent development work and link @simonw. · Reference in the current profile
- The LLM project's documentation links Willison's original announcements and explains what the software does. · Reference in the current profile
- His maintained guide connects the essays to practical chapters on testing, agents and understanding code. · Reference in the current profile
- His original framing of the data-exfiltration capability combination, linked to concrete incident reports. · Reference in the current profile
- His own commentary, including updates to the Rule of Two discussion; he is not credited as author of the underlying papers. · Reference in the current profile
Stella Biderman · 6 references
Studies how model behavior develops during training, using public checkpoints and controlled experiments on memorization and capabilities.
Profile sources checked .
- Her current site identifies the EleutherAI executive director role and her research interests. · Reference in the current profile
- Her publication list links the selected works and records their coauthors. · Reference in the current profile
- Current X metadata names Stella Biderman and links her personal site. · Reference in the current profile
- Read for the controlled suite's construction, checkpoint availability and case studies. · Reference in the current profile
- Read for the memorization definition, prediction goal, corrected analysis and limitations. · Reference in the current profile
- Read for the position paper's prediction and training-trajectory argument; it is an agenda, rather than proof of a completed theory. · Reference in the current profile
Steve Yegge · 3 references
Persistent task tracking and coordination for coding agents that outgrow a single chat session.
Profile sources checked .
- His own biography describes independent work since late 2025 and his earlier Sourcegraph role. · Reference in the current profile
- His current overview connects the projects, their repositories and his original essays. · Reference in the current profile
- His public X profile links yegge.ai. · Reference in the current profile
Taylor Monahan · 3 references
Explains phishing, device compromise and crypto theft through the messages, permissions and software around a wallet.
Profile sources checked .
- Names Taylor Monahan's security research and links the tayvano_ account. The report itself is by Luker. · Reference in the current profile
- The publisher's author page connects her name to the malware essay. · Reference in the current profile
- Own byline, original publication date, update date and a direct link to tayvano_. · Reference in the current profile
Thomas Wolf · 5 references
Connects open model research and software to questions about what an AI benchmark measures, with work on model compression and scientific reasoning.
Profile sources checked .
- His current biography identifies his Hugging Face role, research interests and selected publications. · Reference in the current profile
- His Hugging Face profile links thomwolf.io and the Thom_Wolf X account. · Reference in the current profile
- Hugging Face's educational event biography identifies Wolf as cofounder and Chief Science Officer. · Reference in the current profile
- The DistilBERT author record names Victor Sanh, Lysandre Debut, Julien Chaumond and Thomas Wolf. · Reference in the current profile
- Original material read for the local-model selection. · Reference in the current profile
Tim Brooks · 4 references
Researches generating and editing images and video. His coauthored projects expose the difference between following an editing instruction and keeping a scene coherent over time.
Profile sources checked .
- His current biography says he leads media generation at Meta Superintelligence Labs; DeepMind and OpenAI roles are earlier work. · Reference in the current profile
- His GitHub profile links his own site and @_tim_brooks on X; its older OpenAI biography is not used as a current affiliation. · Reference in the current profile
- Current public profile metadata identifies Tim Brooks, names Meta and links timothybrooks.com. · Reference in the current profile
- The InstructPix2Pix author record establishes the paper's first submission on 17 November 2022. The project-page publication date is left unset. · Reference in the current profile
Tim Dettmers · 4 references
Studies how to fit and adapt large models with less memory. His explanations separate reduced-precision inference from training a small set of additional parameters.
Profile sources checked .
- His current biography states CMU assistant professor and Ai2 research scientist, and identifies him as creator of bitsandbytes. · Reference in the current profile
- His GitHub profile links his website and @tim_dettmers. · Reference in the current profile
- Public profile metadata repeats his CMU and Ai2 affiliations and links his own blog. · Reference in the current profile
- The author record names Dettmers, Pagnoni, Holtzman and Zettlemoyer; Dettmers and Pagnoni share equal contribution. · Reference in the current profile
TJR · 2 references
Trading lessons and market commentary, with free Boot Camp material and the Blueprint education project.
Profile sources checked .
Tri Dao · 4 references
Studies how model algorithms and GPU hardware fit together, with coauthored explanations of faster attention and alternatives to a growing attention cache.
Profile sources checked .
- His own site links @tri_dao, the selected research and its implementations. · Reference in the current profile
- Together AI's current research team lists Dao as Founder and Chief Scientist. · Reference in the current profile
- The FlashAttention-3 author record identifies the six collaborators, including Dao, and the original submission date. · Reference in the current profile
- The article's publication metadata lists eight coauthors and the March 2026 date. · Reference in the current profile
Unipcs · 1 references
Public position theses and market-sentiment commentary from the trader known as Bonk Guy, with a focus on memecoin narratives and conviction trades.
Profile sources checked .
Uniswap · 2 references
Protocol and product explanations published by Uniswap Labs, covering AMM design, v4 hooks and infrastructure for onchain trading.
Profile sources checked .
Valeria Nikolaenko · 3 references
Research on trusted setup ceremonies, fair data exchange and privacy. Her coauthored papers turn broad promises of trust minimization into specific assumptions about participants and exchanged data.
Profile sources checked .
- Her personal site links @lera_banda, lists the selected papers and dates her a16z research role to 2022–2024. · Reference in the current profile
- The authorship list and archive history for her coauthored setup-ceremony paper. · Reference in the current profile
- The authorship list and archive history for the fair-data-exchange paper. · Reference in the current profile
VitaDAO · 3 references
A community perspective on research funding, intellectual property and biotech development, with concrete project updates behind its decentralized-science proposals.
Profile sources checked .
- Current organization description and a link to its X account @vitadao. · Reference in the current profile
- Explains VITA's role in proposal voting and DAO treasury governance. · Reference in the current profile
- The 2021 launch article describes the cooperative model and links the historical handle @vita_dao. · Reference in the current profile
Vitalik Buterin · 3 references
Long-form arguments about Ethereum's design, decentralization and the tradeoffs behind proposed protocol changes.
Profile sources checked .
Vlad Tenev · 1 references
Robinhood's company direction and first-hand product statements about markets, tokenization and access.
Profile sources checked .
Wintermute · 2 references
Research on transaction infrastructure and market commentary from the firm's OTC trading desk.
Profile sources checked .
Zac Williamson · 2 references
Coauthor of PLONK and plookup, two research works about constructing and checking cryptographic proofs. His work is a route into the engineering behind programmable privacy.
Profile sources checked .
ZachXBT · 3 references
Investigations that connect crypto thefts and scams to transaction trails, communications and public records.
Profile sources checked .
- His own account of his research, incident response and public channels. · Reference in the current profile
- A readable copy of his September 2024 investigation. · Reference in the current profile
- The September 2026 legal update on Malone Lam's guilty plea in the broader criminal enterprise. · Reference in the current profile
Read the dates and credits carefully
Original publication dates stay separate from checks of profile sources and topic materials. 39 recommendation dates are unknown. Shared works keep separate reading notes, and collaborative work retains the qualifications in those notes.
Read the selection method and limitations or choose another published version.