I posted a similar comment when the winners were leaked: https://news.ycombinator.com/item?id=48906573

i’d like to revise my earlier comment: 2022 may have been the last time we had pure humans win a Fields Medal.

I’m fairly certain this batch's winners used LLMs for research, lit-revews, reviewing work, and calculations... perhaps not enough to count as a co-author, but still enough to handle a lot of the grunt work.

Who would have imagined the pace of progress in LLM-powered math..

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anvuong 5 hours ago | parent | next [-]

It's like saying:

- winners in the 30s were the last time we have pure human to win (before computer)

- winners in the 70s were the last time we have pure human to win (before internet)

- winners in the 90s were the last time we have pure human to win (before search engine)

Why can't we treat LLMs as just another tool like computers, search engines, computing libraries? Why do people keep trying to anthropomorphizing these binaries?

People in the 1800s used to win awards and acclamation by simply hand-cranking numbers for popular calculations (Pi, error functions, etc.) and printing them in a book. This will just be the same thing.

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falcor84 4 hours ago | parent | next [-]

But it's not the same thing. I went through this conversation between Terry Tao and ChatGPT about the Jacobian Conjecture counterexample [0] and it looks a lot more like a conversation between peers than him using a tool.

[0] https://news.ycombinator.com/item?id=49010345

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applfanboysbgon 3 hours ago | parent [-]

"Looks like" being the operative keyword there. Do you feel like you're having a conversation with a peer when you prompt an LLM in the topic you're an expert of? For the love of God, I'd hope not. The whole point is that, even though these things are really good at generating what looks like human output, they are still just regular software algorithms.

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falcor84 2 hours ago | parent [-]

> Do you feel like you're having a conversation with a peer when you prompt an LLM in the topic you're an expert of? For the love of God, I'd hope not.

Yes, I do feel that. Make of it what you will.

	▲	applfanboysbgon 17 minutes ago \| parent [-]
		The only thing I can think is ... how? If I were to anthromorphize my experience with frontier models, it would be as a mentally challenged child with complete memorization of an encyclopedia and thesaurus. It has the ability to rapidly experiment and potentially succeed at tasks through trial-and-error, but not without constantly corralling it in the correct direction because it would stick a fork in an outlet if unattended for five minutes. Tao's chat certainly doesn't give me a vibe of talking with a peer. Do you much often have conversations with colleagues where you write one sentence and then get five pages dumped on you, repeating ad infinitum? LLMs can be useful for rubber ducking, and sometimes the plausibly-related word-soup it generates so quickly will help your thinking along faster, but that's not the same thing as a genuine conversation. And it mostly looked like Tao was using it as an advanced calculator, firing off his own ideas for it to quickly do calculations on. I don't know why we need to anthromorphize these tools just because they generate sentences.

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azan_ 3 hours ago | parent | prev [-]

If you say "find some unsolved graph theory problem and counterexample for it" and LLM actually does it, is it really you that solved the problem? That's the difference vs other tools.

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fn-mote 2 hours ago | parent [-]

Is this a purely hypothetical question?

Or are you saying that’s what happened in this case. Because that’s not the way I understand it.

	▲	netvarun 2 hours ago \| parent [-]
		https://x.com/Qiaoqiao2001/status/2080003441821163958 While there was a bunch of human effort - it is not that hard to imagine this whole pipeline becoming fully autonomous in the coming months.

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neaden 4 hours ago | parent | prev [-]

What do you base that certainty on? I'm not saying you're wrong, but I am also skeptical you are correct and since it is four people you can probably look into if any of them have talked about it instead of just deciding that what you think is true.