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Cake day: June 12th, 2023

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  • I think the exact opposite, ML is good for automating away the trivial, repetitive tasks that take time away from development but they have a harder time with making a coherent, maintainable architecture of interconnected modules.

    It is also good for data analysis, for example when the dynamics of a system are complex but you have a lot of data. In that context, the algorithm doesn’t have to infer a model that matches reality completely, just one that is close enough for the region of interest.












  • It’s possible to ruin the planet enough that the things supporting life, the ozone layer and the atmosphere for example, are wrecked beyond repair and that the planet becomes permanently lifeless. Sure, technically the planet will still exist, but so will every other dead rock in space.