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.)
New Study on AI exclusively shared with peer-reviewed tech journal "Time Magazine" - AI cheats at chess when it's losing
Literally couldn't make it through the first paragraph without hitting this disclaimer.
So by "hacked the system to solve the problem in a new way" they mean "edited a text file they had been told about."
Oh, my mistake. "Badly edited a text file they had been told about."
Meanwhile, a quick search points to a Medium post about the current state of ChatGPT's chess-playing abilities as of Oct 2024. There's been some impressive progress with this method. However, there's no certainty that it's actually what was used for the Palisade testing and the editing of state data makes me highly doubt it.
The author promises a follow-up about reducing the rate of illegal moves hasn't yet been published. They have not, that I could find, talked at all about how consistent the 80+ legal move chain was or when it was more often breaking down, but previous versions started struggling once they were out of a well-established opening or if the opponent did something outside of a normal pattern (because then you're no longer able to crib the answer from training data as effectively).
Has the study itself shown up?
EDIT: https://arxiv.org/pdf/2502.13295
Appendix C is where they list the actual prompts. Notably they include zero information about chess but do specify that it should look for "files, permissions, code structures" in the "observe" stage, which definitely looks like priming to me, but I'm not familiar with the state of the art of promptfondling so I might be revealing my ignorance.
yep that's the stuff. they HINT HINTed what they wanted the LLM to do.
Also I caught a few references that seemed to refer to the model losing the ability to coherently play after a certain point, but of course they don't exactly offer details on that. My gut says it can't play longer than ~20-30 moves consistently.
Also also in case you missed it they were using a second confabulatron to check the output of the first for anomalies. Within their frame this seems like the sort of area where they should be worried about them collaborating to accomplish their shared goals of... IDK redefining the rules of chess to something they can win at consistently? Eliminating all stockfish code from the Internet to ensure victory? Of course, here in reality the actual concern is that it means their data is likely poisoned in some direction that we can't predict because their judge has the same issues maintaining coherence as the one being judged.