this post was submitted on 06 Oct 2024
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TechTakes

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Big brain tech dude got yet another clueless take over at HackerNews etc? Here's the place to vent. Orange site, VC foolishness, all welcome.

This is not debate club. Unless it’s amusing debate.

For actually-good tech, you want our NotAwfulTech community

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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.

Last week’s thread

(Semi-obligatory thanks to @dgerard for starting this)

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[–] [email protected] 18 points 2 months ago* (last edited 2 months ago) (16 children)

Don't know how much this fits the community, as you use a lot of terms I'm not inherently familiar with (is there a "welcome guide" of some sort somewhere I missed).

Anyway, Wikipedia moderators are now realizing that LLMs are causing problems for them, but they are very careful to not smack the beehive:

The purpose of this project is not to restrict or ban the use of AI in articles, but to verify that its output is acceptable and constructive, and to fix or remove it otherwise.

I just... don't have words for how bad this is going to go. How much work this will inevitably be. At least we'll get a real world example of just how many guardrails are actually needed to make LLM text "work" for this sort of use case, where neutrality, truth, and cited sources are important (at least on paper).

I hope some people watch this closely, I'm sure there's going to be some gold in this mess.

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