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Cake day: July 30th, 2023

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  • Machine Learning (and even Large Language Models) do have genuine use cases they excel at and are probably more efficient at.

    One good example is protein folding. ML transformed biomedical research by basically solving the protein folding problem in minutes on a GPU instead of essentially trying to brute force a solution that was millions to tens of millions times more complex. I’m glossing over details, but it’s mind blowing how much better (especially when you consider resource usage) how much better ML is in this case. Think $1 and minutes vs $100000+ and years… for a single protein.

    The problem is using LLMs and Generative AI for things they seem good at but actually aren’t.