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Why do we need human mathematicians anymore?

293 points · 384 comments · auggierose

  1. strideashort · · focus · HN ↗
    We need to pivot math towards intuition and accessibility.

    Math has built a gated, inaccessible institution which - by design or not - served as a moat.

    I believe math has little to do with mathematical notation - intuition is much more important. One can have intuition but not be able to “read math” - much as many musicians don’t “read music”.

    Reading math however does not guarantee ideas or intuition. And those are what math needs.

    1. DarkNova6 · · focus · HN ↗
      I think LLMs are the single best things that were invented to make mathematics accessible.

      I loved mathematics when I was young and wanted to be good at it, but I got burnt so many times by teachers who could not explain even if their life depended on it.

      Asking an LLM and discovering how different theories belong together and what are genuinely open questions, along with different philosophical interpretations has been a wonderful gift.

      I have long accepted that Mathematics is a language where you must go "all in" because for the most parts institutions are fundamentally unable to explain it in an intuitive way. There are people who "just get it" and are blind to the struggle of people who need a different approach in learning it. There's something about the field where a generational survivorship bias has created an environment where math is mostly taught to likeminded people, who then don't see why anybody could not see the difficulties learning it.

      I know this is not true everywhere, but the only reason I could finish my studies was because there are some genuinely excellent online lectures on youtube, along with massive support from friends who have already been through the ordeal.

      If I had had access to an LLM, I could have actually taught myself from scratch and be more playful in learning it. And no, I am not willing to learn lots of math "for fun", I can think of better "for fun" things that actually help my profession and cater to my actual interests and not just some academic ideal.

      1. tylerhou · · focus · HN ↗
        LLMs are decent at explaining up to undergrad mathematics but that is because they are parroting / plagiarizing the hundreds of human-written books that have been written for the express purpose of teaching undergrads. LLMs are actually fairly terrible at explaining higher mathematics; humans are much better.
        1. quietbritishjim · · focus · HN ↗
          They are definitely doing more than parroting. When learning mathematics, it's not uncommon to have some little misunderstanding that just isn't covered by a written explanation because it's "obvious" unless you happen to have misunderstood it that particular way. When that happens, you could look up the topic in 5 books on the subject and not make progress (never mind that you have to search through them to get to roughly the right point). LLMs are genuinely good at challenges like this - they make mistakes, but they can still identify and correct your misunderstanding with a bit of back and forth.

          A good human on the subject will do better, and I'm not claiming the LLM has "understanding" in any philosophical sense. But it's more useful than something that just regurgitates material.

          1. tylerhou · · focus · HN ↗
            > it's not uncommon to have some little misunderstanding that just isn't covered by a written explanation because it's "obvious" unless you happen to have misunderstood it that particular way... LLMs are genuinely good at challenges like this

            For undergrad math, sure, and again, I think it's often because on some random corner of the internet someone else had a very similar misunderstanding. On the other hand, when I ask for clarifications on niche topics that have few examples on the internet LLMs (even Opus 5) often confidently cite irrelevant papers / results or simply hallucinate.

            1. quietbritishjim · · focus · HN ↗
              I think you're desperate to think that LLMs cannot make any sort of deduction by themselves: they must have just remembered someone else doing it. But I've definitely had conversations where they've had insights that can't be explained by that. Yes, I've had plenty of hallucinations too, but it's worth it, for me at least, overall.

              Having said that, I wouldn't attempt to learn a whole topic with an LLM, that would be frustrating.

              1. tylerhou · · focus · HN ↗
                I am not desperate; I just have enough expertise and work in a niche-enough field to recognize that LLMs just are bullshit machines.

                See <a href="https:&#x2F;&#x2F;claude.ai&#x2F;share&#x2F;6431ccd9-f4f8-4052-8996-b046d1ea1f76" rel="nofollow">https:&#x2F;&#x2F;claude.ai&#x2F;share&#x2F;6431ccd9-f4f8-4052-8996-b046d1ea1f76 for an example that I ran into just now.

                1. auggierose · · focus · HN ↗
                  We all run into hallucinations like in your example, but that doesn&#x27;t mean that the AI cannot make connections between different areas of knowledge it has, and combine them usefully to something new that wasn&#x27;t there before. Like Navier Stokes, for example. I&#x27;ve had it make plenty of such connections in my own research, giving me new results I didn&#x27;t have before.
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