广东低空经济公司党支部书记、董事林育钿告诉南方周末记者，目前，打“飞的”这种新消费形态正处于起步阶段，供给侧还不成熟，“国内‘飞的’仍以国外进口直升机为主，购买及运维成本较高，且国内拥有商业驾驶执照的飞行员数量也有限”。
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.
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.sort_by(new_sorter_lexicographic(vec![。手游是该领域的重要参考
5. Paradise, Season 2，更多细节参见超级权重
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