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Amateur armed with ChatGPT solves an Erdős problem

scientificamerican.com

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Re: Amateur armed with ChatGPT solves an Erdős problem

#441

Earlier quoted context omitted.

I don't have any opinion about "real intelligence" or not. I'm not a P(doom)er, I don't think we're on the bring of ascending as a species. But I'm also allergic to arguments like "they're just statistical text generators", because that truly does not capture what these things do or what their capabilities are.

"But I'm also allergic to arguments like "they're just statistical text generators", because that truly does not capture what these things do or what their capabilities are." Umm, why doesn't it capture it? Why can't a statistical text generator do amazing things without _actually_ being intelligent (I'm thinking agency here)? I think it's important to remind ourselves, these things do not reflect or understand what…

I reject the premise. I read the outputs I generate carefully (too carefully, probably). They don't "continue to output nonsense". Their success rate exceeds that of humans in some places.

To clarify: the problem I have with "statistical text generator" isn't the word "statistical". It's "text generator". It's been two years now since that stopped being a reasonable way to completely encapsulate what these systems do. The models themselves are now run iteratively, with an initial human-defined prompt cascading into series of LLM-generated interim prompts and tool calls. That process is not purely, or even primarily, one of "text generation"; it's bidirectional, and involves deep implicit searches.

Re: Amateur armed with ChatGPT solves an Erdős problem

#442
post #412

Earlier quoted context omitted.

Mimicry is how kids learn the expected reactions to particular emotions. A kid mimicking your surprise doesn’t mean they are surprised (as surprise requires an existing expectation of an outcome they may not have the experience for), but when they do feel genuine surprise, they’ll know how to express it.

How do we know that AI isn't feeling genuine surprise then?

Because it has no mind, no cognition, and nothing to "feel" with. Don't mistake programmatic mimicry for intention. That's just your own linguistic-forward primate cognition being fooled by the linguistic signals the training set and prompt are making the AI emit.

Re: Amateur armed with ChatGPT solves an Erdős problem

#443

For the uninitiated, Paul Erdős was a pretty famous but very eccentric mathematician who lived for most of the 1900s. He had a habit of seeking out and documenting mathematical problems people were working on. The problems range in difficulty from "easy homework for a current undergrad in math" to "you're getting a Fields Medal if you can figure this out". There's nothing that really connects the problems other than…

More context on what’s going on with LLMs solving Erdos problems:

https://www.dwarkesh.com/p/terence-tao

TLDR, most of what is getting solved so far is “easy” problems that were not seriously looked at by experts, and where there isn’t a new insight, just trying all the existing techniques from the toolbox. Essentially the low hanging fruit for automation. Raw count solved is a problematic eval due to its difficulty lumpiness.

Seems this problem might be different, having some new insight as part of the solution.

Re: Amateur armed with ChatGPT solves an Erdős problem

#444
post #286

Earlier quoted context omitted.

Looking around, the evidence doesn't seem to support this conclusion. 50% of food thrown away, yet people go hungry. Every privatized industry diminishes in quality and reach. Selects and optimizes for profit rather than for human need.

> Looking around, the evidence doesn't seem to support this conclusion. It absolutely does if you look at facts and not "vibes". There are less people starving now than ever now and it's a giant, giant difference. We are tackling more and more diseases thanks to big pharma. Even semi-socialist countries such as China have opened markets. Basically the only countries that do not implement capitalist solutions are the…

> There are less people starving now than ever now

I see no reason to attribute that to capitalism. Capitalist and non capitalist societies had famines, and capitalist and non capitalist societies industrialized and improved people's material conditions - by raw number of people, non capitalist societies did this for more people.

The PRC indeed has opened their markets, and now has capital allocation issues - their initial chip development programs failed because of market viability issues, and for whatever reason their government didn't put the communism hat on and just nationalize the entire industry like it's done for other ones. More evidence against the supposed increase efficiency and outcomes of privatization and market based R&D and incentives.

North Korea seems to be failing less because of its economic system and more because the entire nation is a cult with a horrifying political system.

It seems quite literally all economic strife in Cuba is due to American sanctions - and in spite of these they still have a lower infant mortality rate than the Americans and make breakthroug medical discoveries.

So again, given the evidence, it seems capitalism is, at best, equally viable to whatever the Soviets and PRC did, in terms of allocating resources and lifting people out of poverty.

Given that we probably all will run out of ways to justify our existence under capitalism through selling our labor within our lifetimes, it seems like a very good time to start considering alternatives. Capitalism has no answer to the question, "what do you do with people when you have an 80% unemployment rate?"

Re: Amateur armed with ChatGPT solves an Erdős problem

#445

Earlier quoted context omitted.

2022 called, wants this argument back. When you're "statistically generating text" to find zero-day vulnerabilities in hard targets, building Linux kernel modules, assembly-optimizing elliptic curve signature algorithms, and solving arbitrary undergraduate math problems instantaneously --- not to mention apparently solving Erdos problems --- the "statistical text" stuff has stopped being a useful description of what'…

But the systems that do that impressive work are no longer just LLMs. Look at the Claude Code leak - it’s a sprawling, redundant maze relying on tools and tests to approximate useful output. The actual LLM is a small portion of the total system. It’s a useful tool, but it’s obviously not truly intelligent - it was hacked together using the near-trillions of dollars AI labs have received for this explicit purpose.

I think you're actually making a point but overall still disagree.

I do think LLM's are evolving towards this kind of embodied cognition type intelligence, in virtue of how well they interoperate with text. I mean, you don't need to "make the text intelligible" to the LLM, the LLM just understands all kinds of garbage you throw at it.

Now the question is: Is intelligence being able to interoperate?

In the traditional sense, no. Well, in a loose sense, yes, because people would've said that intelligence is the ability to do anything, but that's not a useful category (otherwise, traditional computer programs would be "intelligent"). But when I hear that, I think something like "The models can represent an objective reality well, it makes correct predictions more often than not, it's one of these fictional characters that gets everything and anything right". This is how it's framed in a lot of pop culture, and a lot of "rationalist" (lesswrong) style spaces.

But if LLM's can understand a ton of unstructured intent and interoperate with all of our software tools pretty damn well... I mean, I would not call that "a bunch of hacks". In some sense, this is an appeal to the embedded cognition program. Brain in a vat approach to intelligence fails.

But it clearly enables new capabilities that previously were only possible with human intelligence. In a very blatant negative form: The surveillance state is 100% now possible with AI. It doesn't take deep knowledge of Quantum Physics to implement, with a large amount of engineering effort, data pipelines and data lakes, and to have LLM's spread out throughout the system, monitoring victims.

So I'd call it intelligence, but with a qualifier to not slip between slippery slopes. It may even be valid to call the previous notion of intelligence a bad one, sure. But I think the issue you may be running into is that it feels like people are conflating all sorts of notions of intelligence.

Now, you can add an ad hoc hypothesis here: In order to interoperate, you have to reason over some kind of hidden latent space that no human was able to do before. Being able to interoperate is not orthogonal to general intelligence - it could be argued that intelligence is interoperation.

If you're arguing for embodied cognition, fine, we agree to some extent :)

The fear is that the AI clearly must be able to emulate, internally, a latent space that reflects some "objective notion of reality". If it did that, then shit, this just breaks all of the victories of empiricism, man. Tell me about a language model that can just sit in a vat, and objectively derive quantum mechanics by just thinking about it really hard, with only data from before the 1900s.

I don't think you need to be this caricature of intelligence to be intelligent, is what I'm saying, and interoperability is definitely a big aspect of intelligence.

Re: Amateur armed with ChatGPT solves an Erdős problem

#446

Earlier quoted context omitted.

I wouldn't expect a hand-crafted proof by an amateur to be much different.

Depends. I reckon a proof by an amateur would either be worthless because it demonstrates no understanding whatsoever or significantly better because they actually understand the proof. LLM produced texts are often in a weird area where the quality of the content and the quality of the writing have very little to do with one another.

I don't think it's true that all amateurs have no understanding whatsoever. Amateurs have proven things before, and they've also wasted mathematicians time with wrong proofs.

Re: Amateur armed with ChatGPT solves an Erdős problem

#447

Earlier quoted context omitted.

Well, hang on a second - it sounds like you may actually disagree with the user who created this thread. That user claims that these systems exhibit “real intelligence”, and success on this Erdos problem is proof. You seem to be making the claim that LLMs are statistical text generators, but statistical text generation is good enough to succeed in certain cases. Those are different arguments. What do you actually bel…

I don't have any opinion about "real intelligence" or not. I'm not a P(doom)er, I don't think we're on the bring of ascending as a species. But I'm also allergic to arguments like "they're just statistical text generators", because that truly does not capture what these things do or what their capabilities are.

(The clearer way for me to have said this is that I don't care whether they're According-to-Hoyle "intelligent", and that controversy isn't what motivated me to comment).

Re: Amateur armed with ChatGPT solves an Erdős problem

#448
post #55

Earlier quoted context omitted.

And how about the creative rationalizations about how statistical text generation is actual intelligence? As if there is any intent or motive behind the words that are generated or the ability to learn literally any new thing after it has been trained on human output?

2022 called, wants this argument back. When you're "statistically generating text" to find zero-day vulnerabilities in hard targets, building Linux kernel modules, assembly-optimizing elliptic curve signature algorithms, and solving arbitrary undergraduate math problems instantaneously --- not to mention apparently solving Erdos problems --- the "statistical text" stuff has stopped being a useful description of what'…

Consider that you don't want to hear "statistical generation" because it reminds you of the unchangeable nature of the underlying technology and its ultimate limitations that all the money and data centers in the world will never solve. Despite how amazing and useful they are, they are not intelligent agents. Even in this very thread, someone mentioned they thought the thing was capable of feeling an emotion. Was that comment by someone who really believes that? I don't know. But many people do and people in tech who actually know what these things are have a responsibility to not mislead the public (and ourselves) about what they really are and what they can be.

Re: Amateur armed with ChatGPT solves an Erdős problem

#449
post #49

Earlier quoted context omitted.

Someone should tell the mathematicians if they use a calculator or a whiteboard or heavens forbid a computer they are "bad at math".

1) That's not related to chain of thought I was replying to. Someone asked about the "bad at math" and pointed out "but it seems good to me" so I added the color of why that might be the case. Your retort seems to imply I'm making an argument that because something uses tools for a job it cannot be good at the thing it's using a tool for. Which is not the case. 2) If you have something to say, just say it. Don't put…

Right, but your narrative was incorrect and based on faulty premises, which you haven't acknowledged. That's fine, except you're still pressing the argument.

Can you please present a reasonable maths problem that I can bounce off GPT so we can see it fail? I can give you many hundreds of relatively complex problems, none of which have appeared in a textbook, that GPT has not only solved, but critiqued my own crappy solutions for. I'm only asking you for one counterpoint.

Re: Amateur armed with ChatGPT solves an Erdős problem

#450
post #336
post #265

Earlier quoted context omitted.

What I find fascinating about the shared prompt isn’t just the result, but the visible thinking process. Math papers usually skip all the messy parts and just present the polished proof. But here you get something closer to their notepad. I also find it oddly endearing when the AI says things like “Interesting!” It almost feels like a researcher encouraging themselves after a small progress. It gives me rare feeling…

> the AI says things like “Interesting!” My experience of those utterance is that it’s purely phatic mimicry: they lack genuine intuitive surprise, it’s just marking a very odd shift in direction. The problem isn’t the lack of path, is that the rhetorical follow-up to those leaps are usually relevant results, so they stream-of-token ends up rapidly over-playing its own conviction. That’s why it’s necessary (and often…

I think sometimes though there harness LLMs providing guidance. For instance I’ve seen recently coding agents doing an analysis then mid response saying “no wait, that’s not right” and course correcting. This feels implausible as an auto regressive rhetorical tick. LLM harnesses are widely used in advanced agentic systems and I’m sure the Pro level reasoning models exploit them extensively. I’m not saying this is what happened here, but there is a chance it was something injected by the hardness into its thinking.
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