this post was submitted on 14 Jul 2024
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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.

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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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[–] [email protected] 14 points 5 months ago (24 children)

comment from friend:

Slightly related: now I know when the AI crash is going to happen. Every bottomfeeder recruiter company on LinkedIn is suddenly pushing 2-month contract technical writer positions with AI companies with no product, no strategy, and no idea of how to proceed other than “CEO cashes out.” I suspect the idea is to get all of their documentation together so they can sell their bags of magic beans before the beginning of the holiday season.

sickos.jpg

I have asked if he can send me links to a few of these, I'll see what I can do with 'em

[–] [email protected] 9 points 5 months ago* (last edited 5 months ago) (11 children)

Current flavor AI is certainly getting demystified a lot among enterprise people. Let's dip our toes into using an LLM to make our hoard of internal documents more accessible, it's supposed to actually be good at that, right? is slowly giving way to "What do you mean RAG is basically LLM flavored elasticsearch only more annoying and less documented? And why is all the tooling so bad?"

[–] [email protected] 9 points 5 months ago (5 children)

RAG

The fuck's a rag in an AI context

[–] [email protected] 8 points 5 months ago (1 children)

It's the technique of running a primary search against some other system, then feeding an LLM the top ~25 or so documents and asking it for the specific answer.

[–] [email protected] 7 points 5 months ago (1 children)

So you run a normal query but then run the results through an enshittifier to make sure nothing useful is actually returned to the user.

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