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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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Stubsack: weekly thread for sneers not worth an entire post, week ending 24th August 2025 (awful.systems)

submitted 6 days ago* (last edited 6 days ago) by BlueMonday1984@awful.systems to c/techtakes@awful.systems

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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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[–] swlabr@awful.systems 9 points 2 days ago* (last edited 2 days ago)

Author works on ML for DeepMind but doesn’t seem to be an out and out promptfondler.

Quote from this post:

I found myself in a prolonged discussion with Mark Bishop, who was quite pessimistic about the capabilities of large language models. Drawing on his expertise in theory of mind, he adamantly claimed that LLMs do not understand anything – at least not according to a proper interpretation of the word “understand”. While Mark has clearly spent much more time thinking about this issue than I have, I found his remarks overly dismissive, and we did not see eye-to-eye.

Based on this I'd say the author is LLM-pilled at least.

However, a fruitful outcome of our discussion was his suggestion that I read John Searle’s original Chinese Room argument paper. Though I was familiar with the argument from its prominence in scientific and philosophical circles, I had never read the paper myself. I’m glad to have now done so, and I can report that it has profoundly influenced my thinking – but the details of that will be for another debate or blog post.

Best case scenario is that the author comes around to the stochastic parrot model of LLMs.

E: also from that post, rearranged slightly for readability here. (the [...]* parts are swapped in the original)

My debate panel this year was a fiery one, a stark contrast to the tame one I had in 2023. I was joined by Jane Teller and Yanis Varoufakis to discuss the role of technology in autonomy and privacy. [[I was] the lone voice from a large tech company.]* I was interrupted by Yanis in my opening remarks, with claps from the audience raining down to reinforce his dissenting message. It was a largely tech-fearful gathering, with the other panelists and audience members concerned about the data harvesting performed by Big Tech and their ability to influence our decision-making. [...]* I was perpetually in defense mode and received none of the applause that the others did.

So also author is tech-brained and not "tech-fearful".