AI在野蛮生长,电网在原地踏步。矛盾最终指向一个结果:算力的成本,正在由全民买单。
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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大量标准化编码工作可以自动完成。这意味着,纯粹依赖熟练度/经验建立优势的工程师,价值空间被挤压。
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Combining actuators with artificial bodies or limbs allows you to create things like a robot arm, a robot dog – or a humanoid.
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