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That's still only, what, twenty or thirty dimensions? I guess it's hard enough to gather data that it's not as simple as feeding it a big black-box optimizer, something like SageMaker or Vizier that's designed to tune ML models with week-long training times and dozens of hyperparameters, but that'd still be quite a bit more powerful than the manual search that the author talks about.


Questions about prime numbers are asked in one dimension.

The manual search is guided by a lot of very rigorous theory-of-experiment. It's not just trial and error, it's quite a bit more.


And do what? ML requires a way to know if it’s making correct predictions.




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