nathan karri
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on the atlas · 124
- Terrorism Is Not Effective · Gwern.net1 savers
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- Chenming Hu1 savers
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- Rio Popper - Conduit - YouTube2 savers
- Naming things2 savers
- Man granted first-of-its-kind religious exemption against mandatory AI use at work — Humanist argues that offloading his thinking to LLMs violates his beliefs, Title VII accommodation protects employee | Tom's Hardware3 savers
- About This Website · Gwern.net (reader mode)9 savers
- The Dark Core of Personality1 savers
- OxCaml | Tutorials | Introduction to parallelism, Part 11 savers
- Progress on provable inference for large language models \ Anthropic5 savers
- Sivaraman Balakrishnan | 10-725 Convex Optimization1 savers
- Stanford CS336 | Language Modeling from Scratch8 savers
- A Life Really Worth Living1 savers
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- OxCaml | About2 savers
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- How to Think About GPUs | How To Scale Your Model6 savers
- Making Deep Learning Go Faster32 savers
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- On Really Trying · Gwern.net14 savers
- LYDIA5 savers
- Practice | CodeSignal1 savers
- Patrick Hsu3 savers
- Why Safety Is a Fundamental Right, Not a Privilege1 savers
- An Interview with OpenAI’s Richard Ho on Why Jalapeño Is a Groundbreaking AI Chip4 savers
- CMU 21-240 Matrix Algebra1 savers
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- Embracing Chaos: The Imperfect Art of Semiconductor Manufacturing And Lithography1 savers
- AI and the future of music composition — Ulkar Aghayeva1 savers
- A marriage I want — Ulkar Aghayeva2 savers
- How Universities Should Prepare Founders4 savers
- How we collected 10,000 hours of neuro-language data in our basement - Conduit11 savers
- Introducing Triton: Open-source GPU programming for neural networks | OpenAI4 savers
- How the quantum search algorithm works4 savers
- Stewart.pdf1 savers
- Great Ideas in Computational Biology: Course Overview1 savers
- Matrix Multiplication — Triton documentation1 savers
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- The Rice Purity Test1 savers
- Weighted Rice Purity Test | Rice Purity Quiz1 savers
- Nate-culture communication handbook - Google Docs3 savers
- Apply | +EV1 savers
- How to Parallelize a Transformer for Training | How To Scale Your Model1 savers
- Evergreen note-writing helps insight accumulate1 savers
- Leaps of insight emerge from prior thought1 savers
- Andy Matuschak45 savers
- Neural Networks Are Already Clean55 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-Optimized12 savers
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- Things You're Allowed To Do | Milan Cvitkovic10 savers
- Advice to Young People, The Lies I Tell Myself - jxnl.co26 savers
- Handy1 savers
- The Unreasonable Effectiveness of Recurrent Neural Networks19 savers
- Andrej's advice for success41 savers
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- Marginal Revolution15 savers
- Side Channel Cloud6 savers
- Charlie O’Neill1 savers
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- Nathan Chen6 savers
- ceselder (Celeste)1 savers
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- The days are long but the decades are short - Sam Altman73 savers
- andy jones4 savers
- Top Performers are Pathologically Ambitious - by Matt Beard35 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
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- 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
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- About - Aidan Smith8 savers
- On Doubling10 savers
- Quantum computing for the very curious52 savers
- The Illustrated Transformer – Jay Alammar – Visualizing machine learning one concept at a time.37 savers
- Inference Engineering | Baseten Books1 savers
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- Omens of exceptional talent - Alexey Guzey22 savers
- Spending Inference Time — Kevin Lu4 savers
- uv4 savers
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