△ 등교 거부가 반복되어 정상적인 학교생활에 실질적인 지장이 생길 때
The idea: give an AI agent a small but real LLM training setup and let it experiment autonomously overnight. It modifies the code, trains for 5 minutes, checks if the result improved, keeps or discards, and repeats. You wake up in the morning to a log of experiments and (hopefully) a better model. The training code here is a simplified single-GPU implementation of nanochat. The core idea is that you're not touching any of the Python files like you normally would as a researcher. Instead, you are programming the program.md Markdown files that provide context to the AI agents and set up your autonomous research org. The default program.md in this repo is intentionally kept as a bare bones baseline, though it's obvious how one would iterate on it over time to find the "research org code" that achieves the fastest research progress, how you'd add more agents to the mix, etc. A bit more context on this project is here in this tweet.
，详情可参考新收录的资料
instead of being unmapped. #10251
回看阿里大文娱的起点，马云“不为赚钱，只为玩”的轻松心态，阿里“全都要”的实际操盘效果，为其后续的战略摇摆埋下伏笔。