Have a sneer percolating in your system but not enough time/energy to make a whole post about it? Go forth and be mid - welcome to the Stubsack, your first port of call for learning fresh Awful you’ll near-instantly regret.

Any awful.systems sub may be subsneered in this subthread, techtakes or no.

If your sneer seems higher quality than you thought, feel free to cut’n’paste it into its own post — there’s no quota for posting and the bar really isn’t that high.

The post Xitter web has spawned so many “esoteric” right wing freaks, but there’s no appropriate sneer-space for them. I’m talking redscare-ish, reality challenged “culture critics” who write about everything but understand nothing. I’m talking about reply-guys who make the same 6 tweets about the same 3 subjects. They’re inescapable at this point, yet I don’t see them mocked (as much as they should be)

Like, there was one dude a while back who insisted that women couldn’t be surgeons because they didn’t believe in the moon or in stars? I think each and every one of these guys is uniquely fucked up and if I can’t escape them, I would love to sneer at them.

(Credit and/or blame to David Gerard - both for starting this, and for covering the previous week. We should get a bot to automate this…)

  • corbin@awful.systems
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    1 day ago

    OpenAI claims proofs for ten maths conjectures. The details are underwhelming; expand for opinions. Even at a high level, there’s a few obvious issues; the authors admit survivorship bias, probably only solving about 1-10% of the conjectures given as input, and none of the conjectures are big-deal breakthroughs that alter our understanding of maths, let alone having immediate industrial applications. Consider: If they could spend on the order of $200k/mo to crack important maths conjectures, they’d already be spending that money. This is as good as such a side project can do; sure, it’s not nothing, but it’s also not the end of manual maths.

    opinions on maths

    Only one of the results is at all interesting to me. Ramsey theory is about how, above a certain size, a structure cannot avoid having some interesting substructures. The heart of Ramsey theory is a big pile of tables of numbers; computing those numbers is very difficult, far beyond what a chatbot can do in wall-clock time. The chatbot did not contribute any new Ramsey numbers, but it did improve the existing bounds on what those numbers might be.

    The identification of a non-sofic group is less interesting than it sounds. We’ve known for a while that there are quite a few exotic groups which defy our expectations, so this was an expected outcome of an exhaustive and motivated search. The tools involved, Leavitt path algebras, are only a few decades old and not at all well-known; it’s not likely that we’ll be able to understand how hard this was for a while. Maybe it was low-hanging fruit. The main contrast is with something like non-Noetherian rings; we initially believed that all rings are Noetherian, so it was something of a shock that it’s not always the case. Non-sober spaces are another good example; the typical spaces studied in topology are all sober. See this quote from Johnstone and discussion on MO.

    The computational complexity result is completely uninteresting to me thanks to Valiant’s theorem, which says that matrix permanents are ♯P-complete even over fields as small as F₂. You’re not gonna collapse ♯P into P with a fucking chatbot, bros. Similarly, reduction from 3SAT to a closest-vector problem does not shift our belief in the difficulty of that problem; this doesn’t make it easier and we already suspected it was NP-hard.

    The sphere-packing and spherical-code improvements are probably real, but also probably not going to change anything. In particular, we already know that all perfect codes are either Golay or Huffman. Frankly, the codes we use in real life are not amenable to this simple framing; I don’t think Reed-Solomon arises from sphere packing. From a theoretical perspective, if you’re not going to shine light on the Leech lattice or the ADE phenomenon then you’re not actually getting at the core objects and are only doing surface work. Don’t get me wrong; if a human were doing all of this then we would have the useful side effect that they would earn a PhD, making it worthwhile for humans to improve these bounds.

    I don’t have anything to say about the other four results. They’re not nothingburgers but they don’t depend on some ultra-smart robot either.