TechTakes

1430 readers

117 users here now

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

founded 1 year ago

MODERATORS

dgerard@awful.systems

Stubsack: weekly thread for sneers not worth an entire post, week ending Sunday 05 May 2024 (awful.systems)

submitted 6 months ago by dgerard@awful.systems to c/techtakes@awful.systems

87 comments fedilink hide all child comments

Have a sneer percolating in your system but not enough time/energy to make a whole post about it? Go forth and be mid!

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.

you are viewing a single comment's thread
view the rest of the comments

[–] zogwarg@awful.systems 5 points 6 months ago

I like the beautiful tangents into linguistics and arguing about how many present tenses English has, and of the dubious merit of distinguishing definiteness in articles.

Trying to invoke LLMs as a tool to pierce these supposedly pointless elements of the English language, for the benefit of non-native (or maybe non-confident native) speakers.

Where really this is exactly the sort of mistakes that LLMs can bring, it’s not just choosing between a non-standard and a standard spelling of a word (like for basic autocorrect) it’s choosing between valid forms depending on context and Intent, which no machine can divine.