✳flâneur — a map of the web's best reading
Rohan Kanti
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on the atlas — 100
- Designing, Refining, and Maintaining Agent Skills at Perplexity1 savers
- Frontier Systems for the Physical World - by Oliver Hsu1 savers
- Introduction to Probability by Joseph K. Blitzstein, Jessica Hwang (z-lib.org).pdf1 savers
- How I Got a Job at Google DeepMind (No ML Degree) | Medium2 savers
- Getting Up to Speed on Multi-Agent Systems, Part 1: The Landscape1 savers
- The Model That Dreams the World1 savers
- Hiring the First 5 Engineers: What Sort of People Do You Want on Your Team?1 savers
- Your Startup Is a Movement - Bottom Up by David Sacks1 savers
- BlitzFail - Bottom Up by David Sacks1 savers
- The One Who Defines the Category Wins the Category1 savers
- Humans still matter more than AI in finance1 savers
- Introducing talkie: a 13B vintage language model from 19301 savers
- The Gambler Who Cracked the Horse-Racing Code - Bloomberg1 savers
- In-Depth Analysis of the Polymarket Bot Battle Experiment: Why Do the 'Dumbest' Strategies Live the Longest? | 万联welinkBTC on Binance Square1 savers
- 8 Bayes’ Theorem | Odds & Ends1 savers
- Bayes' rule — LessWrong3 savers
- Everything is Prediction - by Keith Dear - Cassi AI1 savers
- Prediction Centric Warfare - by Keith Dear - Cassi AI1 savers
- When pooling forecasts, use the geometric mean of odds — EA Forum1 savers
- A Professional Superforecaster Walks Us Through His AI Progress Forecasts1 savers
- LLMs Are Closing the Gap on Human Superforecasters1 savers
- Labor market impacts of AI: A new measure and early evidence \ Anthropic4 savers
- Be Like Mike - Bottom Up by David Sacks1 savers
- The Need to Read1 savers
- 192 Weeks8 savers
- cluely.com/blog/virality4 savers
- How to Do Great Work62 savers
- An Opinionated Guide to ML Research50 savers
- Encyclical Letter of His Holiness Leo XIV Magnifica Humanitas (15 May 2026)45 savers
- Understanding41 savers
- Mini Blog Post 3: Become a person who Actually Does Things — Neel Nanda38 savers
- When AI builds itself \ Anthropic30 savers
- Peter Thiel's Religion - David Perell28 savers
- Making Deep Learning Go Faster25 savers
- The Intelligence Curse24 savers
- The New World - Colossus24 savers
- How to Optimize a CUDA Matmul Kernel for cuBLAS-like Performance: a Worklog23 savers
- Visual Information Theory -- colah's blog23 savers
- How to make something great23 savers
- Research Taste Exercises [rough note] -- colah's blog21 savers
- The Last Question20 savers
- Beyond the Sky - Colossus19 savers
- Ultrasound imaging of the brain — Aleph19 savers
- Post 34: Learning how to learn — Neel Nanda19 savers
- How to Land a Frontier Lab Job17 savers
- The Era of Experience Paper.pdf15 savers
- Building a web search engine from scratch in two months with 3 billion neural embeddings14 savers
- Neural Networks, Manifolds, and Topology -- colah's blog14 savers
- The Unreasonable Effectiveness of Recurrent Neural Networks14 savers
- The Second Half – Shunyu Yao – 姚顺雨13 savers
- Demystifying evals for AI agents \ Anthropic11 savers
- cdixon | The idea maze10 savers
- Failing to Understand the Exponential, Again10 savers
- From prediction markets to info finance10 savers
- What to Do10 savers
- There Are No New Ideas in AI… Only New Datasets10 savers
- How China's Unitree Will Dominate Global Robotics9 savers
- Shipping at Inference-Speed | Peter Steinberger9 savers
- The Wu Tapes: Q&A with Cognition's Scott Wu - Colossus9 savers
- Understanding LSTM Networks -- colah's blog9 savers
- Performance Hints9 savers
- All About Rooflines | How To Scale Your Model9 savers
- How to Start Google8 savers
- ML Job Interviews: The Ultimate Guide – Silvia Sapora7 savers
- Training great LLMs entirely from ground zero in the wilderness as a startup — Yi Tay7 savers
- The Patriot - Colossus7 savers
- Taste for Makers7 savers
- Welcome to Gas Town. Happy New Year, and Welcome to Gas… | by Steve Yegge | Jan, 2026 | Medium7 savers
- An Intuitive Explanation of Solomonoff Induction - LessWrong7 savers
- You and Your Research, by Richard Hamming - Sam Altman6 savers
- On idea-driven ideas5 savers
- The Optimistic Thought Experiment | Hoover Institution The Optimistic Thought Experiment5 savers
- How to Think About TPUs | How To Scale Your Model5 savers
- How to Get Startup Ideas5 savers
- The 2026 Global Intelligence Crisis - Citadel Securities5 savers
- How to Get New Ideas5 savers
- The Pope and the Antichrist - First Things4 savers
- What Should You Work On?4 savers
- Project Mario - Colossus4 savers
- When To Do What You Love4 savers
- Book Reviews · Gwern.net4 savers
- How to Think About GPUs | How To Scale Your Model4 savers
- How An Algorithm Feels From Inside - LessWrong3 savers
- How Claude Code is built - by Gergely Orosz3 savers
- The Netflix Simian Army. Keeping our cloud safe, secure, and… | by Netflix Technology Blog | Netflix TechBlog3 savers
- The Best Venture Firm You’ve Never Heard Of3 savers
- Long Humans3 savers
- How People Get Rich Now2 savers
- Asset-light Software Businesses: The New Paradigm for Startups2 savers
- Peter Thiel’s CS183: Startup - Class 13 Notes...2 savers
- Self-Verification, The Key to AI2 savers
- AI 2040 and the Cult of Intelligence | the singularity is nearer2 savers
- Mode collapse2 savers
- Scientific management2 savers
- Zanshin: The Art of Attention and Focus From a Samurai Archer2 savers
- The Pipeline Metrics That Matter2 savers
- Eric-Jorgenson_The-Almanack-of-Naval-Ravikant.indd2 savers
- elos.dvi2 savers
- Actually, Othello-GPT Has A Linear Emergent World Representation — Neel Nanda2 savers
- Is It a Bubble?2 savers