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lmfao


Closed loop optimization is already a thing, and you don’t even need AI for it, just good old bayesian optimization is enough.


Bayesian doesn't have 'world model' intuition for next experiments to run. Think, human scientists are very 'sample-efficient' at deciding which experiment (i.e. sample) to run, in ways good-ol opt isn't but LLMs could be.

thoughts?


I feel like you missed the context of my comment. Someone suggested AI would do experiments, someone responded with “lmfao” as a dismissal. I answered that we already have computers running experimental series even without AI. I’m not dismissing AI I’m saying that we are already in a post computer run experimentation world. People not in an industry using that would obviously not know.


AI is just good old bayesian :|




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