Active learning for predicting the enthalpy of mixing in binary liquids based on ab initio molecular dynamics

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South Africa's long-serving former defence minister and former Robben Island prisoner dies

Min: 0.859 ms | 0.649 ms

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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:

I’m pretty sure.

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