Ask HN: Is it possible to backtest mathematical/scientific breakthroughs?
By creating a synthetic dataset of everything we know with a cutoff of say 1900 and see if it actually can come up with the same (or more interestingly, different) theories.
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Sounds like your setup would take ten years.
How about building a “tech tree” of known significant progressions and work it from there!
However, it is necessarily a tiny model because of the limited training data.
All machine learning is extremely data-intensive compared to organic brains, it's nowhere near good enough to generate novel (relative to the training cut-off) maths or scientific hypotheses.