nathan karri
7 followers · 16 following · 192 views
on the atlas — 75
- Neural Networks Are Already Clean38 savers
- Transformer-Puzzles/TransformerPuzzlers.ipynb at main · srush/Transformer-Puzzles1 savers
- Tensor-Puzzles/Tensor Puzzlers.ipynb at main · srush/Tensor-Puzzles1 savers
- Poker Playing — LessWrong1 savers
- Shtetl-Optimized11 savers
- Examples of barbell strategies12 savers
- What it's like to dissect a cadaver – Alok's blog1 savers
- Things You're Allowed To Do | Milan Cvitkovic7 savers
- Advice to Young People, The Lies I Tell Myself - jxnl.co19 savers
- Handy1 savers
- The Unreasonable Effectiveness of Recurrent Neural Networks18 savers
- Andrej's advice for success41 savers
- SPARC 2025 materials - Google Docs2 savers
- Marginal Revolution15 savers
- Side Channel Cloud6 savers
- Charlie O’Neill1 savers
- Why is progress in biology so slow?10 savers
- Nathan Chen5 savers
- ceselder (Celeste)1 savers
- hypotheos.is1 savers
- The days are long but the decades are short - Sam Altman73 savers
- andy jones4 savers
- Top Performers are Pathologically Ambitious - by Matt Beard18 savers
- Minji's Personal Website2 savers
- Helena Tran4 savers
- Jacob's Web Site4 savers
- Jinglin Li1 savers
- [1606.06565] Concrete Problems in AI Safety3 savers
- Welcome to SGLang - SGLang Documentation1 savers
- lambda.pdf1 savers
- Scaling Scaling Laws with Board Games — boardlaw 0.1 documentation2 savers
- Why We Think | Lil'Log26 savers
- Lil'Log24 savers
- Reward Hacking in Reinforcement Learning | Lil'Log12 savers
- Specification gaming examples in AI - master list - Dysk Google3 savers
- mlsys2026-flashinfer-contest/docs/HAN_Lab_Kernel_Mafia_Technical_Report.pdf at main · mit-han-lab/mlsys2026-flashinfer-contest · GitHub1 savers
- [2505.14271] FAID: Fine-Grained AI-Generated Text Detection Using Multi-Task Auxiliary and Multi-Level Contrastive Learning1 savers
- Pangram 4 Technical Report3 savers
- Pangram 4 Technical Overview | Pangram1 savers
- substack.net1 savers
- QoL improvements4 savers
- [2405.04434] DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model2 savers
- About - Aidan Smith8 savers
- On Doubling10 savers
- The Illustrated Transformer – Jay Alammar – Visualizing machine learning one concept at a time.36 savers
- Inference Engineering | Baseten Books1 savers
- Flock Safety Blog: Public Safety News, Insights & Tips1 savers
- Omens of exceptional talent - Alexey Guzey21 savers
- Spending Inference Time — Kevin Lu4 savers
- uv4 savers
- Competitive Programmer's Handbook4 savers
- Eric Jang | Personal website and blog of Eric Jang.5 savers
- AI Chip Architectures - Jacob Peake4 savers
- Brief independent investigation of agents’ behavior, reasoning and collaboration in the OpenAI / Hugging Face hacking incident - METR20 savers
- Factoring RSA-260 | Cognition4 savers
- Faulty reward functions in the wild | OpenAI1 savers
- As Rocks May Think | Eric Jang13 savers
- How to Unclench | Jonny Miller23 savers
- Dario Amodei — We Must Pace the Frontier36 savers
- Why I’m Joining Thinking Machines — Neil Chowdhury5 savers
- Stewart.pdf1 savers
- All the Transformer Math You Need to Know | How To Scale Your Model3 savers
- An Alien Mind | OpenAI27 savers
- Z Fellows - 2026 cohorts (currently accepting applications for 2026)1 savers
- Neo Scholars: Apply Now3 savers
- book.pdf6 savers
- Nat Friedman60 savers
- Curius / Bookmarks for the extremely curious184 savers
- The unreasonable effectiveness of one-on-ones | benkuhn.net9 savers
- Help us do better1 savers
- Nathan's Bookshelf / Curius1 savers
- Curius / Onboarding2667 savers
- RLHF Book by Nathan Lambert15 savers
- From Sampling to Reinforce7 savers
- How to serve trillions of tokens for trillion-parameter coding agents4 savers