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AI achieves silver-medal standard solving International Mathematical Olympiad problems (deepmind.google)

submitted 3 months ago by morrowind@lemmy.ml to c/technology@lemmy.world

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Today, we present AlphaProof, a new reinforcement-learning based system for formal math reasoning, and AlphaGeometry 2, an improved version of our geometry-solving system. Together, these systems solved four out of six problems from this year’s International Mathematical Olympiad (IMO), achieving the same level as a silver medalist in the competition for the first time.

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[–] technocrit@lemmy.dbzer0.com 4 points 3 months ago* (last edited 3 months ago) (1 children)

Artificial general intelligence (AGI) with advanced mathematical reasoning has the potential to unlock new frontiers in science and technology.

The first sentence is completely irrelevant grifting. Red flag.

First, the problems were manually translated into formal mathematical language for our systems to understand... Our systems solved one problem within minutes and took up to three days to solve the others.

LMAO. If people translate the question into symbols, then ofc a computer can solve the problem in a few minutes.

If you translate your budget into a spreadsheet, then a computer can calculate your surplus or deficit in microseconds. But the actually hard part is making the spreadsheet.

AlphaProof solved two algebra problems and one number theory problem... two combinatorics problems remained unsolved.

So they got a 60%? That's pretty good for a human but not so much for a purported "AI".

I imagine it might not be difficult to develop classes of problems that are easy or hard/impossible for automated proof. Probably already exists but the grift don't want to talk about limitations.

[–] morrowind@lemmy.ml 0 points 3 months ago

Did you actually look at the problems or even furher down the page before making these sweeping statements? Simply transforming it into formal mathematical language does not make the problems trivial. These aren't arithmetic problems.

Despite failing the two problems, it did better than the majority of the contestants, who are some of the most talented math students in the world.

The only major catch was it did not finish in the alloted time, since it went on for days. But once the method has been established, that's a performance problem.

Deepmind is one of the most respected labs in the AI space, far before the modern generative ai trend. They're not some random grifters.