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.
О том, что новым верховным лидером Ирана стал Моджтаба Хаменеи, стало известно 8 марта. Корпус стражей исламской революции уже присягнул ему на верность.，这一点在新收录的资料中也有详细论述
이란 대통령 “사과” 몇 시간 만에 또 공습…걸프국 “보복 경고”，这一点在新收录的资料中也有详细论述
Then HK$565 per month. Complete digital access to quality FT journalism on any device. Cancel anytime during your trial.。关于这个话题，新收录的资料提供了深入分析
这得到中南大学公共管理学院教授、博导刘立夫的支持。他说：“我非常认同：博士生实行考核制录取后，质量严重下降，很多人几乎是零基础入学，上课根本听不懂。专业是门外汉，其他也是一团糟。现在高学历本来就过剩，找工作难。加上一大堆水博士，以后更麻烦。这个制度估计会改变。”