diz

joined 2 years ago
[–] diz@awful.systems 9 points 1 month ago* (last edited 1 month ago) (4 children)

I think it gotten to the point where its about as helpful to point out it is just an autocomplete bot, as it is to point out that "its just the rotor blades chopping sunlight" when a helicopter pilot is impaired by flicker vertigo and is gonna crash. Or in the world of BLIT short story, that its just some ink on a wall.

Human nervous system is incredibly robust, comparing to software, or comparing to its counterpart in the fictional world in BLIT, or comparing to shrimps mesmerized by cuttlefish.

And yet it has exploitable failure modes, and a corporation that is optimizing an LLM for various KPIs is a malign intelligence that is searching for a way to hack brains, this time with much better automated tooling and with a very large budget. One may even say a super-intelligence since it is throwing the combined efforts of many at the problem.

edit: that is to say there certainly is something weird going on on psychological level ever since Eliza.

Yudkowsky is a dumbass layman posing as an expert, and he's playing up his own old pre-conceived bullshit. But if he can get some of his audience away from the danger - even if he attributes a good chunk of the malevolence to a dumb ass autocomplete to do so, that is not too terrible of a thing.

[–] diz@awful.systems 7 points 1 month ago

It would have to be more than just river crossings, yeah.

Although I'm also dubious that their LLM is good enough for universal river crossing puzzle solving using a tool. It's not that simple, the constraints have to be translated into the format that the tool understands, and the answer translated back. I got told that o3 solves my river crossing variant but the chat log they gave had incorrect code being run and then a correct answer magically appearing, so I think it wasn't anything quite as general as that.

[–] diz@awful.systems 8 points 1 month ago

I’d just write the list then assign randomly. Or perhaps pseudorandomly like sort by hash and then split in two.

One problem is that it is hard to come up with 20 or more completely unrelated puzzles.

Although I don’t think we need a large number for statistical significance here, if it’s like 8/10 solved in the cheating set and 2/10 in the hold back set.

[–] diz@awful.systems 13 points 1 month ago* (last edited 1 month ago)

Yeah any time its regurgitating an IMO problem it’s a proof it’salmost superhuman, but any time it actually faces a puzzle with unknown answer, this is not what it is for.

[–] diz@awful.systems 19 points 1 month ago* (last edited 1 month ago) (4 children)

Further support for the memorization claim: I posted examples of novel river crossing puzzles where LLMs completely fail (on this forum).

Note that Apple’s actors / agents river crossing is a well known “jealous husbands” variant, which you can ask a chatbot to explain to you. It gladly explains, even as it can’t follow its own explanation (since of course it isn’t its own explanation but a plagiarized one, even if changes words).

edit: https://awful.systems/post/4027490 and earlier https://awful.systems/post/1769506

I think what I need to do is to write up a bunch of puzzles, assign them randomly to 2 sets, and test & post one set, while holding back on the second set (not even testing it on any online chatbots). Then in a year or two see how much the set that's public improves, vs the one that's held back.

[–] diz@awful.systems 13 points 1 month ago

making LLMs not say racist shit

That is so 2024. The new big thing is making LLMs say racist shit.

[–] diz@awful.systems 3 points 1 month ago

Can’t be assed to read the bs but sometimes the use after free only happens in some rarely executed code path, or only when one branch is executed then later another branch. So you still may need fuzzing to trigger use after free for Valgrind to detect.

[–] diz@awful.systems 7 points 1 month ago

Chatbots ate my cult.

[–] diz@awful.systems 9 points 1 month ago* (last edited 1 month ago) (1 children)

I swear I’m gonna plug an LLM into a rather traditional solver I’m writing. I may tuck deep into the paper a point how it’s quite slow to use an LLM to mutate solutions in a genetic algorithm or a swarm solver. And in any case non LLM would be default.

Normally I wouldn’t sink that low but I got mouths to feed, and frankly, fuck it, they can persist in this madness for much longer than I can stay solvent.

This is as if there was a mass delusion that a pseudorandom number generator can serve as an oracle, predicting the future. Doing any kind of Monte Carlo simulation of something like weather in that world would of course confirm all the dumb shit.

[–] diz@awful.systems 9 points 1 month ago (2 children)

I wonder what's gonna happen first, the bubble popping or Yudkowsky getting so fed up with gen AI he starts sneering.

[–] diz@awful.systems 3 points 1 month ago (4 children)

Yeah plenty of opportunities to just work it into the story.

I dunno what kind of local models you can use, though. If it is a 3D game then its fine to require a GPU, but you wouldn't want to raise minimum requirements too high. And you wouldn't want to use 12 gigs of vram for a gimmick, either.

[–] diz@awful.systems 11 points 1 month ago* (last edited 1 month ago) (6 children)

I think it could work as a minor gimmick, like terminal hacking minigame in fallout. You have to convince the LLM to tell you the password, or you get to talk to a demented robot whose brain was fried by radiation exposure, or the like. Relatively inconsequential stuff like being able to talk your way through or just shoot your way through.

Unfortunately this shit is too slow and too huge to embed a local copy of, into a game. You need a lot of hardware compatibility. And running it in the cloud would cost too much.

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