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Stubsack: weekly thread for sneers not worth an entire post, week ending 13th April 2025

awful.systems /post/3901631

Need to let loose a primal scream without collecting footnotes first? 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..)

40 comments
  • :( looked in my old CS dept's discord, recruitment posts for the "Existential Risk Laboratory" running an intro fellowship for AI Safety.

    Looks inside at materials, fkn Bostrom and Kelsey Piper and whole slew of BS about alignment faking. Ofc the founder is an effective altruist getting a graduate degree in public policy.

  • Shopify going all in on AI, apparently, and the CEO is having a proper born-again moment. Don’t have a source more concrete than this yet:

    https://cyberplace.social/@GossiTheDog/114298302252798365

    (and transcript: https://infosec.exchange/@barubary/114298367285112648)

    It’s a lot like this:

    Using AI effectively is now a fundamental expectation of everyone at Shopify. It’s a tool of all trades today, and will only grow in importance. Frankly, I don’t think it’s feasible to opt out of learning the skill of applying AI in your craft; you are welcome to try, but I want to be honest I cannot see this working out today, and definitely not tomorrow. Stagnation is almost certain, and stagnation is slow-motion failure. If you’re not climbing, you’re sliding.

    • That text is painful to read (I wonder how much of it is slop)... ugh, what is chatgpt doing to the brains of people? (And I've had the bad luck of reading some pretty unhinged pro-AI stuff from management at my employer too, although not as bad as this mail from shopify).

      Is there a precedent for this hype? For the extent of damage that it will cause? Most tech industry hype is a waste of resources, but otherwise mostly harmless. Like that time when everyone believed that XML is the holy grail, that was silly, and although we still have to deal with some unfortunate data formats from those days, it passed. There were worse ones, most notably blockchain was almost catastrophic, but most companies hesitated to go all-in and pursued it more on the side, so when that hype faded, they simply buried their involvement and that was that.

      But "AI"... it has such potential to create significant and long term damage to the companies adopting it. The slop code alone might haunt them forever, in ways that even the worst excesses of 90s enterprise java couldn't. There's nothing to learn from resulting failure, except "don't use AI".

      In this case, given shopify's general behaviour, I won't be sad at all though if they crash and fail.

  • Sometimes, checking the Talk page of a Wikipedia article can be entertaining.

    https://en.wikipedia.org/wiki/Talk:Markov_chain#Proposal_to_reintroduce_peer-reviewed_source_(Wiley,_2017)

    In short: There has been a conspiracy to insert citations to a book by a certain P. Gagniuc into Wikipedia. This resulted in said book gaining about 900 citations on Google Scholar from people who threw in a footnote for the definition of a Markov chain. The book, Markov Chains: From Theory to Implementation and Experimentation (2017), is actually really bad. Some of the comments advocating for its inclusion read like chatbot (bland, generic, lots of bullet points). Another said that it should be included because it's "the most reliable book on the subject, and the one that is part of ChatGPT training set".

    This has been argued out over at least five different discussion pages.

    • "Conspiracy" is a colorful way of describing what might boil down to Gagniuc and two publicists, or something like that, since one person can hop across multiple IP addresses, etc. But, I mean, a pitifully tiny conspiracy still counts (and is, IMO, even funnier).

      A comment by Wikipedia editor David Eppstein, theoretical computer science prof at UC Irvine:

      Despite Malparti warning that "it would be a waste of time for everyone" I took a look at the book myself. 60 pages of badly-worded boring worked examples with no theory before we even get to the possibility of having more than two states. As Malparti said, there is no theory, or rather theory is alluded to in vague and inaccurate form without any justification. For instance the steady state (still of a two-state chain) is first mentioned on 46 as "the unique solution" to an equilibrium equation, and is stated to be "eventually achieved", with no discussion of exceptional cases where the solution is not unique or not reached in the limit, and no discussion of the fact that it is never actually achieved, only found in the limit. Do not use for anything. I should have taken the fact that I could not find a review even on MR and zbl as a warning.

      It's been a while since I've seen a math book review that said "Do not use for anything."

      "This book is not a place of honor..."

40 comments