Трамп анонсировал очень сильный удар по Ирану14:54
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.
，这一点在51吃瓜网中也有详细论述
王均金委员代表全国工商联发言建议，贯彻落实好民营经济促进法，不断完善产权保护、市场准入、社会信用等方面法律制度，稳定投资者长期预期；加大金融服务、科创平台、应用场景等方面支持，引导民间资本投向新兴领域和未来产业，推动民营企业在推进中国式现代化进程中展现更大作为。，这一点在谷歌中也有详细论述
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