A reference you might like to note is in a response - that kevinblizzard bloke probably has a fair old handle on this stuff. Note how he is quoted throughout the article.
This is about some pretty creative uses of computing in maths and bugger all to do with AI (whatever that is.)
If you put enough blood, sweat and tears into codifying mathematical concepts into Lean, you can feed it a mathematical thingie and it can tell you if that thingie is correct within its domain of knowledge. If you get an "out of cheese error", you need to feed it more knowledge or give up and take up tiddlywinks.
This is about some pretty creative uses of computing in maths and bugger all to do with AI (whatever that is.)
If you put enough blood, sweat and tears into codifying mathematical concepts into Lean, you can feed it a mathematical thingie and it can tell you if that thingie is correct within its domain of knowledge. If you get an "out of cheese error", you need to feed it more knowledge or give up and take up tiddlywinks.
This explains Lean in terms I can understand: https://www.quantamagazine.org/building-the-mathematical-lib...