✳flâneur — a map of the web's best reading
Joshua Muthu
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on the atlas — 88
- We Spent 10 Days Touring Chinese AI Labs. Here’s What We Saw.1 savers
- Arseniy Kotov – Architecture and life in post-soviet world1 savers
- The Intelligence Curse24 savers
- Join the Fitzwilliam AI Circle - by Sam Enright2 savers
- Italy in the Middle Ages1 savers
- londonmaxxxing3 savers
- Stanford DL Syllabus1 savers
- Explaining the Free Energy Principle to my past self1 savers
- From prediction markets to info finance10 savers
- Artificial Intelligence, Scientific Discovery, and Innovation2 savers
- How to Do Great Work62 savers
- MAKING SOFTWARE58 savers
- Things You Learn Dating Cate Hall - by Sasha Chapin52 savers
- Nat Friedman50 savers
- Dario Amodei — Machines of Loving Grace50 savers
- AI 202749 savers
- Do Thing, Do One Thing45 savers
- escaping flatland: career advice for CS undergrads41 savers
- Home | Levers For Progress36 savers
- College as an incubator of Girardian terror | Dan Wang34 savers
- The Gap Map33 savers
- IEEE Xplore Full-Text PDF:33 savers
- The Techno-Optimist Manifesto | Andreessen Horowitz30 savers
- When AI builds itself \ Anthropic30 savers
- Every productivity thought I've ever had, as concisely as possible - Alexey Guzey28 savers
- Stripe Press — Ideas for progress26 savers
- Study Guide - LessWrong26 savers
- A Gentle Introduction to Graph Neural Networks25 savers
- My techno-optimism25 savers
- The Trouble with Optionality | Opinion | The Harvard Crimson25 savers
- We Need a New Science of Progress - The Atlantic22 savers
- Even artichokes have doubts - Yale Daily News22 savers
- Advice on Upskilling - Justin Skycak22 savers
- You don't have to be busy to be prolific | thesephist.com20 savers
- How to like everything more - by Sasha Chapin20 savers
- An open letter to 56 people I know - by Sasha Chapin20 savers
- On becoming competitive when joining a new company | Ludwig18 savers
- 50 things I know - by Sasha Chapin - Sasha's 'Newsletter'18 savers
- Dario Amodei — On DeepSeek and Export Controls16 savers
- EVERY SUPPLY CHAIN IN THE WORLD - by vincent huang16 savers
- Having Kids15 savers
- nabeelqu15 savers
- Project Glasswing: Securing critical software for the AI era \ Anthropic13 savers
- Why transformative artificial intelligence is really, really hard to achieve13 savers
- Claude Mythos Preview \ red.anthropic.com13 savers
- 2028: Two scenarios for global AI leadership \ Anthropic12 savers
- How to Get Startup Ideas12 savers
- You Should Be Working On Hardware – Casey Handmer's blog12 savers
- Derek Sivers11 savers
- mason wang11 savers
- Be less scared of overconfidence | benkuhn.net10 savers
- “Build What’s Fundable” - by Kyle Harrison - Investing 10110 savers
- Three Observations - Sam Altman10 savers
- How China's Unitree Will Dominate Global Robotics9 savers
- The Anthropic Economic Index \ Anthropic9 savers
- i think about it all the time - by Claire Wang9 savers
- Shtetl-Optimized » Blog Archive » Umeshisms8 savers
- I. From GPT-4 to AGI: Counting the OOMs - SITUATIONAL AWARENESS8 savers
- Stuff you should have been taught in college but weren’t – Casey Handmer's blog8 savers
- i can do more more more - by Claire Wang - cold brew blog8 savers
- - - Sam Altman7 savers
- The Roots of Progress7 savers
- Ars Longa, Vita Brevis | Slate Star Codex7 savers
- Richard Hamming: You and Your Research7 savers
- Visualizing the deep learning revolution | by Richard Ngo | Jan, 2023 | Medium7 savers
- Six Things I Learned Watching a Robotics Startup Die from the Inside | Rui Xu7 savers
- Learning to Reason with LLMs | OpenAI6 savers
- reactive agency - by Claire Wang - cold brew blog6 savers
- Why is quality rare?6 savers
- Heuristics for lab robotics, and where its future may go6 savers
- Cracking cultures5 savers
- Top Posts — Neel Nanda5 savers
- What is "good taste" in software engineering?4 savers
- ARENA - AI Safety Curriculum4 savers
- book.pdf4 savers
- Welcome to LessWrong! - LessWrong4 savers
- Neurotic Gradient Descent: (mis)Translating the Buddha4 savers
- The Gentle Romance - by Richard Ngo - Asimov Press4 savers
- How to get from high school math to cutting-edge ML/AI: a detailed 4-stage roadmap with links to the best learning resources that I’m aware of. - Justin Skycak4 savers
- How To Understand More of What You Reading - by Craig Perry3 savers
- The Heart of Innovation: Why Most Startups Fail - Commoncog3 savers
- Justin Skycak3 savers
- Relentlessly Resourceful3 savers
- Roadmap: The AI data center stack - Bessemer Venture Partners3 savers
- Distill is dedicated to making machine learning clear and dynamic3 savers
- How fast is AI improving? - AI Digest3 savers
- Casey Handmer2 savers
- Accountability Sinks - by Martin Sustrik - 250bpm2 savers