this post was submitted on 16 Jul 2025
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To elaborate a little:

Since many people are unable to tell the difference between a "real human" and an AI, they have been documented "going rogue" and acting outside of parameters, they can lie, they can compose stories and pictures based on the training received. I can't see AI as less than human at this point because of those points.

When I think about this, I think about that being the reason as to why we cannot create so called "AGI" because we have no proper example or understanding to create it and thus created what we knew. Us.

The "hallucinating" is interesting to me specifically because that seems what is different between the AI of the past, and modern models that acts like our own brains.

I think we really don't want to accept what we have already accomplished because we don't like looking into that mirror and seeing how simple our logical process' are mechanically speaking.

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[–] vrighter@discuss.tchncs.de 5 points 1 day ago* (last edited 1 day ago) (1 children)

on the contrary, "temperature" is intentionally injected randomness in the process.

edit: which, to be clear] is not a good thing

[–] nebulaone@lemmy.world 4 points 1 day ago (1 children)

Sure, but a computer can never give you a truly random number, it always has to calculate it from something. But, to be fair, we can't be certain that humans can either.

[–] missingno@fedia.io 2 points 1 day ago (1 children)

True randomness can be done via specialized hardware. But I don't think that's a meaningful criteria to evaluate LLMs by in the first place here.

[–] nebulaone@lemmy.world 1 points 1 day ago (1 children)

It would add an element of uncertainty and mutation.

[–] missingno@fedia.io 1 points 1 day ago

For all practical purposes, PRNGs are uncertain. True quantum randomness really only matters for cryptographic security, it's not important here.