Before AI gains materialize, governments will have to deal with a ‘policy tradeoff,’ Moody’s says: How to handle the massive spending and debt risk

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这次更新也是 Anthropic 在智能体领域加速布局的缩影。。safew官方版本下载是该领域的重要参考

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The ONS has been criticised recently for the quality of its data, particularly the Labour Force Survey, which is used to compile Neet figures.,更多细节参见旺商聊官方下载

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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