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AlphaProof's Greatest Hits

rishimehta.xyz

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Re: AlphaProof's Greatest Hits

#11
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post #3

If you were to bet on solving problems like "P versus NP" using these technologies combined with human augmentation (or vice versa), what would be the provable time horizon for achieving such a solution? I think we should assume that the solution is also expressible in the current language of math/logic.

Probably a bad example, P vs NP is the most likely of the millennium problems to be unsolvable, so the answer may be "never". I'll bet the most technical open problems will be the ones to fall first. What AIs lack in creativity they make up for in ability to absorb a large quantity of technical concepts.

Thank you for the response. I have a follow-up question: Could these AIs contribute to advancements in resolving the P vs NP problem? I recall that the solution to Fermat’s Last Theorem relied on significant progress in elliptic curves. Could we now say that these AI systems might play a similar role in advancing our understanding of P vs NP?

Re: AlphaProof's Greatest Hits

#12
post #3

If you were to bet on solving problems like "P versus NP" using these technologies combined with human augmentation (or vice versa), what would be the provable time horizon for achieving such a solution? I think we should assume that the solution is also expressible in the current language of math/logic.

The hard part is in the creation of new math to solve these problems not in the use of existing mathematics. So new objects (groups rings fields) etc have to be theorized, their properties understood, and then that new machinery used to crack the existing problems. I think we will get to a place (around 5 years) where AI will be able to solve these problems and create these new objects. I don’t think it’s one of tech…

I understand that a group of motivated individuals, even without significant financial resources, could attempt to tackle these challenges, much like the way free and open-source software (FOSS) is developed. The key ingredients would be motivation and intelligence, as well as a shared passion for advancing mathematics and solving foundational problems.

Re: AlphaProof's Greatest Hits

#14
Why have they still not released a paper aside from a press release? I have to admit I still don't know how auspicious it is that running google hardware for three days apiece was able to find half-page long solutions, given that the promise has always been to solve the Riemann hypothesis with the click of a button. But of course I do recognize that it's a big achievement relative to previous work in automatic theorem proving.

Re: AlphaProof's Greatest Hits

#15

“Only 5/509 participants solved P6”

This has to come with an asterisk, which is that participants had approximately 90 minutes to work on each problem while AlphaProof computed for three days for each of the ones it solved. Looking at this problem specifically, I think that many participants could have solved P6 without the time limit.

(I think you should be very skeptical of anyone who hypes AlphaProof without mentioning this - which is not to suggest that there's nothing there to hype)

Re: AlphaProof's Greatest Hits

#16
post #3

If you were to bet on solving problems like "P versus NP" using these technologies combined with human augmentation (or vice versa), what would be the provable time horizon for achieving such a solution? I think we should assume that the solution is also expressible in the current language of math/logic.

No one is focused on those. They're much more focused on more rote problems. You might find them used to accelerate research math by helping them with lemmas and checking for errors, and formalizing proofs. That seems realistic in the next couple of years.

There are some AI guys like Christian Szegedy who predict that AI will be a "superhuman mathematician," solving problems like the Riemann hypothesis, by the end of 2026. I don't take it very seriously, but that kind of prognostication is definitely out there.

Re: AlphaProof's Greatest Hits

#17

“Only 5/509 participants solved P6”

This has to come with an asterisk, which is that participants had approximately 90 minutes to work on each problem while AlphaProof computed for three days for each of the ones it solved. Looking at this problem specifically, I think that many participants could have solved P6 without the time limit. (I think you should be very skeptical of anyone who hypes AlphaProof without mentioning this - which is not to suggest…

Certainly an interesting information that AlphaProof needed three days. But does it matter for evaluating the importance of this result? No.

Re: AlphaProof's Greatest Hits

#18

Why have they still not released a paper aside from a press release? I have to admit I still don't know how auspicious it is that running google hardware for three days apiece was able to find half-page long solutions, given that the promise has always been to solve the Riemann hypothesis with the click of a button. But of course I do recognize that it's a big achievement relative to previous work in automatic theore…

I don't know why so few people realize this, but by solving any of the problems their performance is superhuman for most reasonable definitions of human.

Talking about things like solving the Reimman hypothesis in so many years assumes a little too much about the difficulty of problems that we can't even begin to conceive of a solution for. A better question is what can happen when everybody has access to above average reasoning. Our society is structured around avoiding confronting people with difficult questions, except when they are intended to get the answer wrong.

Re: AlphaProof's Greatest Hits

#19

Why have they still not released a paper aside from a press release? I have to admit I still don't know how auspicious it is that running google hardware for three days apiece was able to find half-page long solutions, given that the promise has always been to solve the Riemann hypothesis with the click of a button. But of course I do recognize that it's a big achievement relative to previous work in automatic theore…

I don't know why so few people realize this, but by solving any of the problems their performance is superhuman for most reasonable definitions of human. Talking about things like solving the Reimman hypothesis in so many years assumes a little too much about the difficulty of problems that we can't even begin to conceive of a solution for. A better question is what can happen when everybody has access to above avera…

We know that any theorem that is provable at all (in the chosen foundation of mathematics) can be found by patiently enumerating all possible proofs. So, in order to evaluate AlphaProof's achievements, we'd need to know how much of a shortcut AlphaProof achieved. A good proxy for that would be the total energy usage for training and running AlphaProof. A moderate proxy for that would be the number of GPUs / TPUs that were run for 3 days. If it's somebody's laptop, it would be super impressive. If it's 1000s of TPUs, then less so.

Re: AlphaProof's Greatest Hits

#20

Earlier quoted context omitted.

This has to come with an asterisk, which is that participants had approximately 90 minutes to work on each problem while AlphaProof computed for three days for each of the ones it solved. Looking at this problem specifically, I think that many participants could have solved P6 without the time limit. (I think you should be very skeptical of anyone who hypes AlphaProof without mentioning this - which is not to suggest…

Certainly an interesting information that AlphaProof needed three days. But does it matter for evaluating the importance of this result? No.

I agree that the result is important regardless. But the tradeoff of computing time/cost with problem complexity is hugely important to think about. Finding a proof in a formal language is trivially solvable in theory since you just have to search through possible proofs until you find one ending with the desired statement. The whole practical question is how much time it takes.

Three days per problem is, by many standards, a 'reasonable' amount of time. However there are still unanswered questions, notably that 'three days' is not really meaningful in and of itself. How parallelized was the computation; what was the hardware capacity? And how optimized is AlphaProof for IMO-type problems (problems which, among other things, all have short solutions using elementary tools)? These are standard kinds of critical questions to ask.

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