Training a public machine learning model on private data can leak the original training data:
miniblog.
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I find it odd that people recommend Docker for sandboxing agentic coding tools. Isn't it easier to just create a separate user account on the machine?
It's an established security boundary, and viewing output is easy (just make the user's home directory world readable).
GNU Make defaults to a single worker, and newer build tools (e.g. ninja) default to the number of physical CPUs. I wish there was an option for 'leave me a little bit of my machine to do stuff'.
Make defaults to a single worker, and newer build tools (e.g. ninja) default to the number of physical CPUs.
I wish there was an option for 'leave me a little bit of my machine to do stuff'.
