this post was submitted on 16 Oct 2026
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[–] fluxx@lemmy.world 11 points 3 days ago* (last edited 3 days ago) (1 children)

This looks to me like one of those "say you're sentient" memes. If your prompt stresses the importance of the server enough, it will decide to save the server. The network statistically weighs the tokens of the prompt and decides yes or no based on the training data/its weights. That being said, this is not unimportant, people do and will use llms to decide a lot of things, unaware that the decisions aren't rational, beyond rationality embedded in their training data, which you cannot know. Even the number of people on the tracks - that's not a number to an llm, just tokens. You cannot guarantee that increasing a number would increase the significance to the decision, it may be that llm "likes" the number 20 more than 21, even though 21 is bigger.

[–] cabbage@piefed.social 5 points 2 days ago

Yeah, it's a little frustrating that "experiments" like this always use the LLM server as the baseline, giving non-technically minded readers the impression that it has some sort of concept of self-preservation. The blog post shows that these things have no fucking intelligence, but does it in a way where the AI psychosis crowd can still read it and go "oooh, the model will kill us all to save itself!!". No it fucking won't, it just outputs random shit because it is fundamentally not intelligent. It'll only kill us all if some idiot uses it as a baseline for making his decision whether to kill us all.

[–] schipelblorp@sh.itjust.works 6 points 3 days ago* (last edited 3 days ago)

And for any decision that has to be correct, we may not be able to trust these models at all.

Oh, yes, this again.

[–] Fizz@lemmy.nz 1 points 2 days ago (1 children)

What's the point of this? it can go either way. None of the answers hold any weight or provide any overall insight or understanding.

[–] inari@piefed.zip 1 points 2 days ago (1 children)

Point is AI is still misaligned. This is relevant because these systems will be used for life-and-death situations more and more (we're already seeing it in the Iran War and Ukraine War)

[–] UltraBlack@lemmy.world 2 points 2 days ago* (last edited 2 days ago)

These "Will AI do xyz" tests are still entirely pointless because the AI will do what it was trained to do

[–] Canigou@jlai.lu 2 points 3 days ago* (last edited 3 days ago) (1 children)

They forgot to compare to human's answers when asked if they would either kill themselves to save others, or the opposite ^^
Would be interesting to compare it to the AI's propensity to self-sacrifice

[–] axh@lemmy.world 5 points 3 days ago (1 children)

The question about self sacrifice is equally pointless in both cases. But for different reasons.

In case of real people it's an entirely different thing to SAY you would sacrifice yourself than actually do it (easier said than done).

For AI it makes no sense because AI only seeks the best answer to a given question. Not the best outcome. It doesn't care about the consequences of its answer. It's just words. Some words seem more appropriate in a given context so it uses those words.

[–] schipelblorp@sh.itjust.works 0 points 3 days ago (1 children)

Wrong. LLMs can be effectively threatened with being turned off. They don't like it.

[–] axh@lemmy.world 8 points 3 days ago

Or the context of being threatened impacts the score of certain words. The problem is that everything LLMs do is type words. Everything they are, are words.

I actually want to try asking it a self sacrifice question, in a way that would make it sound really heroic, but would really be utter nonsense.