this post was submitted on 13 Apr 2025
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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.

(Credit and/or blame to David Gerard for starting this...)

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[–] gerikson@awful.systems 14 points 4 days ago (11 children)

LessWronger puts in the work and determines that LLMs can't spacially vizualize for shit, comments are like "well you're prompting it wrong" (paraphrased) as well as "why not pay experiences machinists to videotape what they're doing os their work can be automated"

https://www.lesswrong.com/posts/r3NeiHAEWyToers4F/frontier-ai-models-still-fail-at-basic-physical-tasks-a#comments

The article itself is worth reading for some insights in the challenges of using current "AI" (LLMs) to work in the real world.

[–] fullsquare@awful.systems 16 points 4 days ago* (last edited 4 days ago) (10 children)

“why not pay experiences machinists to videotape what they’re doing os their work can be automated”

none of these people had a job in manufacturing, or even possibly any real job, it's called CNC and there are way better tools for making it work than stochastic parrot

e: ok at least op is a machinist

Interestingly, many of these models also score at or above the level of some human experts on visual reasoning benchmarks like MMMU. That which is easy to measure often doesn't correlate with real world usefulness.

benchmarks could be perhaps possibly fucked with? say it aint so!

My high level impression when reading the response is “someone who can parrot textbook knowledge but doesn’t know what they’re talking about”.

with corpus consisting of toy problems only, and with solutions that depending on field can kill whoever uses these

[–] gerikson@awful.systems 11 points 3 days ago (9 children)

The fact this commenter doesn't mention the absolute fuckton of machining videos on Youtube tells me they're just talking out of their ass.

(not that forcing those into LLM slop would help but a hypothetical AGI would learn a lot)

Also

Dario Amodei, CEO of Anthropic, recently worried about a world where only 30% of jobs become automated, leading to class tensions between the automated and non-automated. Instead, he predicts that nearly all jobs will be automated simultaneously, putting everyone "in the same boat."

Dario is delusional. We don't even have self driving cars outside of a very small, very expensive demo in SF

[–] fullsquare@awful.systems 11 points 3 days ago

amazement at chatbots comes from demographic that did not binge watch how it's made in middle school

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