Want to wade into the sandy, spooky surf of the abyss? 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 soo 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 for starting this. The spooks are well underway.)

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    20 hours ago

    First up: thanks for your hard work here in the sneer mines during these ridiculous times!

    I saw this being ignored on HN and I thought that you might appreciate it:

    Navier-Stokes Lost in Translation – Why Lean Verification of AI Autoformalisation Does not Guarantee Correct Natural Language Proofs

    https://arxiv.org/pdf/2610.08144

    The authors point out that automatic translation of natural language mathematics into Lean is very hard, actually. They also highlight some examples of such translation errors in the Navier-Stokes “paper” published by OpenAI. They tread lightly and don’t take a position on the correctness of the proof, but they do bring a large stack of receipts.

    I also thought the reference to the Solvability Complexity Index (which is new to me) was interesting, and there’s an appendix with an explainer on how the SCI hierarchy is constructed. According to this scheme, autoformalisation of natural language proofs is strictly harder than the Halting Problem.

    I haven’t had a chance to check on the bona fides of the authors.

    This is all beyond my level, but I’d love to see what our local experts think of it in light of the recent gish galop.

    • blakestaceyA
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      14 hours ago

      There’s apparently an “Association for Human Mathematics” that has released the following statement:

      Yesterday, on October 6th, 2026, OpenAI – which is currently defending lawsuits against accusations of illegal plagiarism, copyright infringement, and trademark dilution – released a repository of manuscripts purporting to contain solutions to a number of high-profile problems in mathematics.

      Mathematicians did not ask for this work to be done. The Advisory Group on Mathematics and Artificial Intelligence, from whom OpenAI has claimed to derive its legitimacy, opened their initial advisory statement by saying that frontier AI corporations should not test advanced mathematical problems on internal models. In ignoring the central premise of the Advisory Group’s position, OpenAI has indicated total disregard for the norms of scientific research — norms that guarantee that mathematics remains trustworthy, ethically researched, and in the public interest.

      Mathematicians have a particular vision of progress that is informed by history and field-specific considerations. We reject OpenAI’s assertion that this release advances our subject, and we urge mathematicians and the public to view the value of this publication model with due skepticism.

      Releasing over 700 files at once is not a demonstration of scholarship, but a demonstration of power. We urge mathematicians to discontinue their work with OpenAI and to return to a vision of science that centers human understanding.