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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:,这一点在WPS下载最新地址中也有详细论述
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local.get $messageStartIndex
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OpenAI has closed another round of funding, totalling $110 billion being newly committed to the maker of ChatGPT, which it says has more than 900 million weekly active users and over 50 million consumer subscribers. Amazon is investing $50 billion and striking a deal that includes plans for custom models and more. Nvidia and SoftBank are each contributing $30 billion, as well, even as the Wall Street Journal notes that Nvidia's previous $100 billion investment plan is "on ice." This marks another massive influx of cash for the company that's now valued at $730 billion, and previously closed a $40 billion round in 2025. At the time, it was th …