- 1 How to win a best paper award ↗
- 2 Are large language models worth it? ↗
- 3 Gate-level emulation of an Intel 4004 in 4004 bytes of C ↗
- 4 miniHDL: A Python Hardware Description Language DSL ↗
- 5 Machines of Ruthless Efficiency ↗
- 6 My Thoughts on the Future of "AI" ↗
- 7 What my privacy papers (don't) have to say about copyright and generative AI ↗
- 8 Career Update: Google DeepMind -> Anthropic ↗
- 9 AI forecasting retrospective: you're (probably) over-confident ↗
- 10 A 2-ply minimax chess engine in 84,688 regular expressions ↗
- 11 Letting Language Models Write my Website ↗
- 12 You should forecast the future of AI ↗
- 13 How I Use "AI" ↗
- 14 Why I attack ↗
- 15 (yet another) Broken Adversarial Example Defense at IEEE S&P 2024 ↗
- 16 My benchmark for large language models ↗
- 17 My research idea logfile, 2016-2019 ↗
- 18 Reading Data off an Apple ProFile Hard Drive with an Arduino ↗
- 19 Playing chess with large language models ↗
- 20 Little Bobby |endoftext| ↗
- 21 A ChatGPT clone, in 3000 bytes of C, backed by GPT-2 ↗
- 22 Reflecting on Towards Evaluating the Robustness of Neural Networks ↗
- 23 Rapid Iteration in Machine Learning Research ↗
- 24 A Case of Plagarism in Machine Learning Research ↗
- 25 Multiplexing Circuits on the Game of Life - Part 5 ↗
- 26 Research Paper Release Checklist ↗
- 27 A Simple CPU on the Game of Life - Part 4 ↗
- 28 Improved Logic Gates on Conway's Game of Life - Part 3 ↗
- 29 Yet Another Space Game (In 13kb of JavaScript) ↗
- 30 InstaHide Disappointingly Wins Bell Labs Prize, 2nd Place ↗
- 31 Yet Another MOBA (In 13kb of JavaScript) ↗
- 32 Realtime Screen Recording of Breaking a Defense to Adversarial Examples ↗
- 33 An Introduction to Circuit Design on Conway's Game of Life - Part 2 ↗
- 34 Digital Logic Gates on Conway's Game of Life - Part 1 ↗
- 35 Are adversarial example defenses improving? ↗
- 36 Yet Another Doom Clone (In 13kb of JavaScript) ↗
- 37 3D Shadow Mapping Renderer in JavaScript ↗
- 38 A Complete List of All (arXiv) Adversarial Example Papers ↗
- 39 Adversarial Machine Learning Reading List ↗
- 40 Recommendations for Evaluating Adversarial Example Defenses ↗