「她們被伊朗隊管理層限制在飯店，被剝奪和外界社群、朋友、家人或任何支援網絡的機會，不管是律師還是任何人，」佛斯特說。他在2021年幫助阿富汗女性逃離塔利班的行動中擔當了關鍵角色。
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whatsapp中也有详细论述
Фото: Алексей Филиппов / РИА Новости。关于这个话题，手游提供了深入分析
Exclusive: Oro Labs, which uses AI for corporate procurement, raises $100 million. The fundraise was led by Goldman Sachs Growth Equity and Brighton Park Capital, Fortune’s Jeremy Kahn reports. Oro declined to disclose its valuation following the fundraise. The new capital raise brings the total amount of money the startup has raised to date to $160 million.