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re: the "ai torture chamber" thing (thelemmy.club)
submitted 4 days ago by to c/fuck_ai@lemmy.world
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alt textCrudely drawn drawing of a person telling a computer "say 'i am in pain'". The computer replies with "> I AM IN PAIN". The person then says "oh my god."

yes, it's a real thing

Crudely drawn drawing of a person telling a computer "say 'i am in pain'". The computer replies with "> I AM IN PAIN". The person then says "oh my god."
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[–] 2 points 3 days ago (5 children)

Then you know that there is nothing stopping you from training during inference, or to modify weights in reponse to inference. It just so happens to be more efficient to train the next model instead, but again that goes back to what I said, there is no need to copy humans in this because humans aren’t efficient in everything, and certainly not in training.

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  • [–] 1 point 3 days ago* (last edited 3 days ago) (4 children)

    I'm talking about the way things are, yes. Training is an optional step after inference that calculates the error and modifies parameters.

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  • [–] 1 point 3 days ago (3 children)

    Does it matter whether it’s part of it or done immediately after? For all intents and purposes it’s the same thing. Like I said, if the input and outputs are the same, what does it matter how the process works?

    From the user’s perspective, where one question results in many inference calls, it would look like the LLM learns while it works, assuming such training would be enabled, which they obviously wouldn’t but could do.

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  • [–] 1 point 3 days ago (2 children)

    I'm not talking about training, the paper this post is talking about is not about training, and no cloud llms allow their users to do training, so I have no idea what relevance it could have to this conversation. Maybe training is indeed really painful for llms, idk, that's not what we're talking about though.

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  • [–] 1 point 3 days ago (1 child)

    I wasn’t talking about the paper, when I talked about the paper you ignored everything I said and moved in a different direction, which was what I responded to. If you’re wondering about the relevance, perhaps you shouldn’t have brought it up.

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