✳flâneur — a map of the web's best reading
Sarah Pan
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on the atlas — 62
- Let's reproduce GPT-2 (124M) - YouTube2 savers
- Devlog ⚡ Zig Programming Language1 savers
- A Gentle Introduction to LLVM IR · mcyoung1 savers
- Firm > Fund | Andreessen Horowitz1 savers
- VC-Backed Startups are Low Status - by Michael Dempsey3 savers
- The Children Yearn For The Fiat Mines - by 0xsmac1 savers
- GPU Instances and Serverless Inference — Verda (formerly DataCrunch)1 savers
- Citron Research | Executive Editor Andrew Left | Publishing Since 20011 savers
- Quantifying Generalization in Reinforcement Learning1 savers
- [2409.19606] Hyper-Connections1 savers
- Launching Solveit, the antidote to AI fatigue – Answer.AI1 savers
- A year of Vim - Beginner advice and lessons learned1 savers
- Slurm Workload Manager - Quick Start User Guide1 savers
- Prompt engineering overview - Anthropic1 savers
- [2412.14135] Scaling of Search and Learning: A Roadmap to Reproduce o1 from Reinforcement Learning Perspective1 savers
- 2310.01405.pdf1 savers
- [2206.02696] Learning to Ask Like a Physician1 savers
- Top-k & Top-p1 savers
- Curius / Onboarding2507 savers
- Productivity - Sam Altman52 savers
- Things You Learn Dating Cate Hall - by Sasha Chapin52 savers
- What I Wish Someone Had Told Me - Sam Altman51 savers
- How I've run major projects | benkuhn.net50 savers
- An Opinionated Guide to ML Research50 savers
- You don’t need to work on hard problems47 savers
- Salary Negotiation: Make More Money, Be More Valued | Kalzumeus Software33 savers
- What's stopping you?29 savers
- How To Scale Your Model26 savers
- Maggie Appleton26 savers
- How to write a cold email24 savers
- Cognitive load is what matters23 savers
- Post 38: On Slack - Having room to be excited — Neel Nanda23 savers
- Why We Think | Lil'Log22 savers
- Omegle17 savers
- How to Land a Frontier Lab Job17 savers
- Six (and a half) intuitions for KL divergence - LessWrong14 savers
- The Unreasonable Effectiveness of Recurrent Neural Networks14 savers
- The Evolution of Trust13 savers
- The Annotated S411 savers
- Debugging Reinforcement Learning Systems11 savers
- Why I chose OpenAI over academia: reflections on the CS academic and industry job markets (part 2) - Rowan Zellers' blog10 savers
- Mean People Fail10 savers
- Pandoc - About pandoc9 savers
- Approximating KL Divergence9 savers
- Understanding LSTM Networks -- colah's blog9 savers
- Reward Hacking in Reinforcement Learning | Lil'Log9 savers
- Stanford is a platform | R. Miles McCain8 savers
- What failure looks like - LessWrong8 savers
- Six Things I Learned Watching a Robotics Startup Die from the Inside | Rui Xu7 savers
- The Truth of Fact, the Truth of Feeling by Ted Chiang — Subterranean Press | devonzuegel.com6 savers
- OpenAI Cookbook5 savers
- Part 2: Kinds of RL Algorithms — Spinning Up documentation5 savers
- The Dangerous Populist Science of Yuval Noah Harari ❧ Current Affairs5 savers
- Diffusion Meets Flow Matching4 savers
- A Gentle Introduction to LLVM IR · mcyoung4 savers
- DeltaNet Explained (Part I) | Songlin Yang4 savers
- How we built our multi-agent research system \ Anthropic4 savers
- Artificial General Intelligence Is Already Here4 savers
- Paper AI Tigers4 savers
- Free Historical Market Data - Stooq2 savers
- [2501.00663] Titans: Learning to Memorize at Test Time2 savers
- A Quick and Easy Guide to tmux - Ham Vocke2 savers