You must log in or register to comment.
AI is insanely bad at distinguishing fact from hallucination, which seems like a terrible match for math
I haven’t read this article, but the one place machine learning is really really good, is narrowing down a really big solution space where false negatives and false positives are cheap. Frankly, I’m not sure how you’d go about training an AI to solve math problems, but if you could figure that out, it sounds roughly like it would fit the bill. You just need human verification as the final step, with the understanding that humans will rule out like 90% of the tries, but if you only need one success that’s fine. As a real world example machine learning is routinely used in astronomy to narrow down candidate stars or galaxies from potentially millions of options to like 200 that can then undergo human review.
The article is about using computers to discover new conjectures (mathematical statements that are not yet known to be true or false). The conjecture can be then later be formally proven (or disproven) by humans.
Sounds like a good match for me. Formulating conjectures is about finding an interesting pattern and argue that this pattern holds true. Computers are getting increasingly better at pattern matching, so why not use them?
Title is a bit clickbaity by calling it AI.
This might be a worthy application.
The absence of coincidence
Look up the strong law of small numbers.
Also, one of their examples of AI was an exhaustive search.
The article isn’t about automatic proofs, but it’d be interesting to see a LLM that can write formal proofs in Coq/Lean/whatever and call external computer algebra systems like SageMath or Mathematica.
Set to be revolutionized by AI because AI can’t do math.
Says my brother, a Math Professor that works with people trying to develop AI
AI is math, statistics specifically.
No
Are you saying “No… let’s not advance mathematics”? Or… “No, let’s not advance mathematics using AI”?
I was saying boourns
Yes
Ok
