Thinking about this topic made me realize that something similar was true of AI in games in general, separate from the question of these new models. There just aren’t all that many examples of games where interesting AI is the hook. There’s The Sims, of course, but is that even really AI? There are those Orcs in that one Lord of the Rings game who hold grudges against you. There’s the alien in Alien Isolation. The creature in The Last Guardian. The enemy soldiers in Fear? The creature in Black & White? The bickering couple in Façade? Am I missing any big ones? Doesn’t it seem like there should be more?
对模型厂商来说，OpenClaw更是一场瞌睡遇着枕头。国产大模型们空有API调用能力，却始终找不到一个能稳定消耗Token的C端场景——春节让大家下载APP薅完羊毛就卸载，不是长久之计。而OpenClaw的Agent逻辑，天然就是Token粉碎机：完成一个任务，要和模型交互几十上百次，消耗数以万计的Token。用开源社区的项目，养自家模型的调用量，这笔账怎么算都划算。
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I then added a few more personal preferences and suggested tools from my previous failures working with agents in Python: use uv and .venv instead of the base Python installation, use polars instead of pandas for data manipulation, only store secrets/API keys/passwords in .env while ensuring .env is in .gitignore, etc. Most of these constraints don’t tell the agent what to do, but how to do it. In general, adding a rule to my AGENTS.md whenever I encounter a fundamental behavior I don’t like has been very effective. For example, agents love using unnecessary emoji which I hate, so I added a rule:
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Hamnet's Jessie Buckley and I Swear's Robert Aramayo win big at the Baftas。体育直播是该领域的重要参考
Россиянин заказал похищение бывшей женыВ Москве осудят мужчину, заказавшего похищение бывшей жены