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Nicholas Carlini

A 2-ply minimax chess engine in 84,688 regular expressions How to win a best paper award (or, an opinionated take on how to do important research) Are large language models worth it? Gate-level emulation of an Intel 4004 in 4004 bytes of C A Python Hardware Description Language DSL Machines of Ruthless Efficiency My Thoughts on the Future of "AI" What my privacy papers (don't) have to say about copyright and generative AI Career Update: Google DeepMind -> Anthropic AI forecasting retrospective: you're (probably) over-confident Letting Language Models Write my Website You should forecast the future of AI How I Use "AI" Why I attack (yet another) Broken Adversarial Example Defense at IEEE S&P 2024 My benchmark for large language models My research idea logfile, 2016-2019 Reading data off an Apple ProFile hard drive with an Arduino Little Bobby <|endoftext|> A ChatGPT clone, in 3000 bytes of C, backed by GPT-2 nicholas.carlini.com Rapid Iteration in Machine Learning Research A Case of Plagarism in Machine Learning Research Multiplexing Circuits on the Game of Life Research Paper Release Checklist A Simple CPU on the Game of Life Improved Logic Gates on Conway's Game of Life Yet Another Space Shooter (In 13kb of JavaScript) InstaHide Disappointingly Wins Bell Labs Prize, 2nd Place Yet Another MOBA (In 13kb of JavaScript)
Playing chess with large language models
2023-09-22 · via Nicholas Carlini
Building a chess bot that queries GPT-3.5-turbo-instruct to play chess at the level of a skilled human player.