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“Erdos problem #728 was solved more or less autonomously by AI”

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Re: “Erdos problem #728 was solved more or less autonomously by AI”

#271
post #269

Earlier quoted context omitted.

I suppose there's no formally defined procedure that accepts a natural language statement and outputs either its formalization or "misspecified". And "absolutely true" means "the vast majority of mathematicians agree that there's only one formal proposition that corresponds to this statement".

I think you suppose wrong. A statement like "the area of the square whose side is the hypotenuse is equal to the sum of the areas of the squares on the other two sides" doesn't seam out of reach of an algorithmic procedure like a classical NLP.

Sure, we can write a procedure that recognizes some formal grammar, which intersects with the natural language. Defining the formal grammar that fully captures the current natural language understanding of the mathematical community is a bit harder.

Re: “Erdos problem #728 was solved more or less autonomously by AI”

#272

Earlier quoted context omitted.

I'm not sure i understand the wild hype here in this thread then. Seems exactly like the tests at my company where even frontier models are revealed to be very expensive rubber ducks, but completely fails with non experts or anything novel or math heavy. Ie. they mirror the intellect of the user but give you big dopamine hits that'll lead you astray.

This accurately mirrors my experience. It never - so far - has happened that the AI brought any novel insight at the level that I would see as an original idea. Presumably the case of TFA is different but the normal interaction is that that the solution to whatever you are trying to solve is a millimeter away from your understanding and the AI won't bridge that gap until you do it yourself and then it will usually pr…

Tokenizationnnnnnn

Re: “Erdos problem #728 was solved more or less autonomously by AI”

#273

Earlier quoted context omitted.

That's what's covered by the "assuming you have formalized the statement correctly" parenthetical. Given a formal statement of what you want, Lean can validate that the steps in a (tedious) machine-readable purported proof are valid and imply the result from accepted axioms. This is not AI, but a tiny, well reviewed kernel that only accepts correct formal logic arguments. So, if you have a formal statement that you'v…

Soo, it can definitively tell you that 42 is correct Answer to the Ultimate Question of Life, The Universe, and Everything. It just can't tell you if you're asking the right question.

I recently learnt that Douglas Adams wrote code and the ultimate answer was '*' - 42 in ascii

Re: “Erdos problem #728 was solved more or less autonomously by AI”

#274

Earlier quoted context omitted.

> Any talk of "AGI" is, as always, ridiculous. How did you arrive at "ridiculous"? What we're seeing here is incredible progress over what we had a year ago. Even ARC-AGI-2 is now at over 50%. Given that this sort of process is also being applied to AI development itself, it's really not clear to me that humans would be a valuable component in knowledge work for much longer.

“Much longer” is doing a lot of heavy lifting there.

Let me put it like this: I expect AI to replace much of human wage labor over the next 20 years and push many of us, and myself almost certainly included, into premature retirement. I'm personally concerned that in a few years, I'll find my software proficiency to be as useful as my chess proficiency today is useful to Stockfish. I am afraid of a massive social upheaval both for myself and my family, and for society at large.

Re: “Erdos problem #728 was solved more or less autonomously by AI”

#275

Earlier quoted context omitted.

> Any talk of "AGI" is, as always, ridiculous. How did you arrive at "ridiculous"? What we're seeing here is incredible progress over what we had a year ago. Even ARC-AGI-2 is now at over 50%. Given that this sort of process is also being applied to AI development itself, it's really not clear to me that humans would be a valuable component in knowledge work for much longer.

Excellent! Humans can then spend their time on other activities, rather than get bogged down in the mundane.

Not going to happen as long as the society we live in has this big of a hard on for capitalism and working yourself to the bone is seen as a virtue. Every time there’s a productivity boost, the newly gained free time is immediately consumed by more work. It’s a sick version of Parkinson’s law where work is infinite.

https://en.wikipedia.org/wiki/Parkinson%27s_law

Re: “Erdos problem #728 was solved more or less autonomously by AI”

#276
post #212

Earlier quoted context omitted.

I can read and understand e.g. Python, but I have seen subtle bugs that were hard to spot in code generated by AI. At least the last time I tried coding agents (mid 2025), it was often easier to write the code myself then play "spot the bug" with whatever was generated. I don't know anything about Lean, so I was wondering if there were similar pitfalls here.

In this case the human written statement of the theorem is small. Can there be bugs? Absolutely! But it's essentially a few lines of code worth of thinking. The lean proof checker then checks to make sure the proof actually proves the statement. In this case an AI is generating the proof, but if it "compiles" it's correct. The only thing humans need to check is the statement to be proven. (I don't know anything about…

This is also an issue with non-AI and non-Lean proofs. Andrew Wiles' initial Fermat's Last Theorem proof initially had an error in it. That was spotted by peer review, fixed, and an updated proof was submitted.

Re: “Erdos problem #728 was solved more or less autonomously by AI”

#277

Earlier quoted context omitted.

> Any talk of "AGI" is, as always, ridiculous. How did you arrive at "ridiculous"? What we're seeing here is incredible progress over what we had a year ago. Even ARC-AGI-2 is now at over 50%. Given that this sort of process is also being applied to AI development itself, it's really not clear to me that humans would be a valuable component in knowledge work for much longer.

It requires constant feedback, critical evaluation, and checks. This is not AGI, its cognitive augmentation. One that is collective, one that will accelerate human abilities far beyond what the academic establishment is currently capable of, but that is still fundamentally organic. I don't see a problem with this--AGI advocates treat machine intelligence like some sort of God that will smite non-believers and reward…

> It requires constant feedback, critical evaluation, and checks. This is not AGI, its cognitive augmentation.

To me that doesn't sound qualitatively different from a PhD student. Are they just cognitive augmentation for their mentor?

In any case, I wasn't trying to argue that this system as-is is AGI, but just that it's no longer "ridiculous", and that this to me looks like a herald of AGI, as the portion being done by humans gets smaller and smaller

Re: “Erdos problem #728 was solved more or less autonomously by AI”

#278
post #248

When Deep Blue beat Kaspaorov, it was not the end of career for human players. But since mathematics is not a sport with human players, what are the career prospects for mathematicians or mathematics-like fields?

I think its worth saying two things: 1. This result is very far from showing something like "human mathematicians are no longer needed to advance mathematics". 2. Even if it did show that, as long as we need humans trained in understanding maths, since "professional mathematicians" are mostly educators, they probably aren't going anywhere.

I wouldn't say professional mathematicians are mostly educators. The educating that mathematicians do even at graduate level to non-future-mathematicians can mostly be done (not fully at parity due to depth of understanding that we accumulate but close) by non professional mathematicians. Most of the education is to other current/future mathematicians in my limited opinion.

Re: “Erdos problem #728 was solved more or less autonomously by AI”

#279

Earlier quoted context omitted.

How do you verify that the AI translation to Lean is a correct formalization of the problem? In other fields, generative AI is very good at making up plausible sounding lies, so I'm wondering how likely that is for this usage.

For this reason, when we announce results on e.g. the IMO, we formalize the statements by hand and inspect the proofs carefully to ensure they capture the full spirit of the problem. However, there are some good heuristics. If you expect a problem to be hard and the proof is very short, you've probably missed something!

Aren't the best proofs very short?

Re: “Erdos problem #728 was solved more or less autonomously by AI”

#280

I work at Harmonic, the company behind Aristotle. To clear up a few misconceptions: - Aristotle uses modern AI techniques heavily, including language modeling. - Aristotle can be guided by an informal (English) proof. If the proof is correct, Aristotle has a good chance at translating it into Lean (which is a strong vote of confidence that your English proof is solid). I believe that's what happened here. - Once a pr…

So what did the "AI" actually do?

Translate an informal description of the proof into this Lean?

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