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It really cannot. But people who have no knowledge in a field absolutely think LLMs are proficient in that field. As soon as an expert in that field look at what the LLM is doing in their field, that illusion quickly vanishes.
Unfortunately, that’s not true. LLMs have proven new results in mathematics, at extremely high levels, conjectures open since decades.
I am personally very against this use of AI, but let’s be clear on its capacities.
Every one of those mathematical milestones made by AI is followed by an article from a mathematician pointing out the 'discovery' was a flawed rehash or not really applicable to the problem. Same for all the claims about finding bugs, they are old and known bugs and occasionally it can identify already known types of bugs faster as long as a human can filter out the wrong results.
AI does do a fine job of filtering large data sets in controlled environments, like how it is used for finding exoplanets, but just for speeding up an existing process.
It doesn't do anything new.
A reference with a reasonable overview: https://arxiv.org/pdf/2608.02859
Look at code security too.
About some of those proofs...
https://cims.nyu.edu/~tristanb/statement.pdf
Yeah, I had read earlier today. But even the author said that his own draft was LLM-based.
Assisted, not based. Read through to see the difference
They write “with a great deal of help”, so I am usure where the boundary between the two lies and where they would find themselves.
names Fremats last theorem proved by Anthropic
Uhm? The one proven in the 90s?
https://www.anthropic.com/research/formalizing-fermats-last-theorem
😲
They solved the Navier-Stokes milennial problem just the other day.
We can talk about the AI bubble, water consumption and AI "art", but it's undeniably doing some incredible stuff too.
If you can't wrap your head around something that isn't entirely good or entirely bad then well I don't think a discussion can be had with you.