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I work for a life sciences company. It will be a long time before anyone trusts a generative model to do the actual science when mathematically provable models are as good as they are today. There is room for AI in the field, but it's not in the science directly.


What would be a good use of AI? Writing code to do the modeling?


Not yet, I think.

Earlier this year I tried to do this for a much simpler target than bioscience, a Farnsworth fusor, and even though I started off with ~"which open source physics libraries do you recommend we use for this?" and it giving me a list, instead of actually bothering to use any of those libraries that it suggested, it decided to roll its own simulation code, and the code it wrote very obviously didn't work.

It may *assist* with coding, but I don't think it could code for them yet.




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