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.

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11 points
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yall might want to take notice of this thing https://discuss.tchncs.de/post/20460779

https://en.wikipedia.org/wiki/Wikipedia:Wikipedia_Signpost/2024-08-14/Recent_research

STORM: AI agents role-play as “Wikipedia editors” and “experts” to create Wikipedia-like articles, a more sophisticated effort than previous auto-generation systems

ai slop in extruded text form, now longer and worse! and burns extra square kilometers of rainforest

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11 points

People out there acting like “research” using LLMs is ethical

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9 points

LLM, tell me the most obviously persuasive sort of science devoid of context. Historically, that’s been super helpful so let’s do more of that.

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8 points

literally why would you do this. you can research anything you stupid bastards why would you make this

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8 points
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we propose the STORM paradigm for the Synthesis of Topic Outlines through Retrieval and Multi-perspective Question Asking

oh come the fuck on

The authors hail from Monica S. Lam’s group at Stanford, which has also published several other papers involving LLMs and Wikimedia projects since 2023 (see our previous coverage: WikiChat, “the first few-shot LLM-based chatbot that almost never hallucinates” – a paper that received the Wikimedia Foundation’s “Research Award of the Year” some weeks ago).

from the same minds as STOTRMPQA comes: we constructed this LLM so it won’t generate a response unless similar text appears in the Wikipedia corpus and now it almost never entirely fucks up. award-winning!

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