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.)
Math competitions need to start assigning problems that require counting the letters in fruit names.
Word problems referring to aliens from cartoons. "Bobbby on planet Glorxon has four Strawberies, which are similar to but distinct from earth strawberries, and Kleelax has seven..."
I also wonder if you could create context breaks, or if they've hit a point where that isn't as much of a factor. "A train leaves Athens, KY traveling at 45 mph. Another train leaves Paris, FL traveling at 50 mph. If the track is 500 miles long, how long is a train trip from Athens to Paris?
LLM's ability to fake solving word problems hinges on being able to crib the answer, so using aliens from cartoons (or automatically-generating random names for objects/characters) will prove highly effective until AI corps can get the answers into their training data.
As for context breaks, those will remain highly effective against LLMs pretty much forever - successfully working around a context break requires reasoning, which LLMs are categorically incapable of doing.
Constantly and subtly twiddling with questions (ideally through automatic means) should prove effective as well - Apple got "reasoning" text extruders to flounder and fail at simple logic puzzles through such a method.