In practice this turns out to be extremely challenging. I've been through many labs with a ton of automated stuff that is... constantly being worked on by a range of 3rd party techs, rather than actually running in response to models.
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.
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.
