Stubsack: weekly thread for sneers not worth an entire post, week ending Sunday 30 June 2024 - eviltoast

Need to make a primal scream without gathering 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 facts of 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.

  • Sailor Sega Saturn@awful.systems
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    5 months ago

    In the end they had 18481 words of notes to go through. Which is not nothing but also not that much. […] Mozilla also seems to know. And they had an innovative solution: THEY HAD AN LLM SUMMARIZE THE NOTES TO REDUCE BIAS.

    It feels like the AI contingent lost the attention span to actually read stuff somewhere along the line. This isn’t the first time I’ve seen this garbage approach. Of course here at awful.systems we’ve been innoculated against declining attention spans due to regularly having to read lesswrong dissertations.

    • blakestacey@awful.systems
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      5 months ago

      To avoid confirmation bias and subjective interpretation, we decided to leverage language models for a more objective analysis of the data. By providing the models with the complete set of notes, we aimed to uncover patterns and trends without our pre-existing notions and biases.

      … the Hell?

      • Sailor Sega Saturn@awful.systems
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        5 months ago

        Yeah it’s wild. Even most AI grifters don’t outright try to claim that LLMs reduce bias (they know we’d laugh at them even harder than usual) so mozilla.ai is in deep.