Science cannot say much about what it is to think since it doesn’t understand the brain well enough
Wild pseudo-scientific generalization.
and the day we can fully explained it, we will also be able to replicated it on computers.
There are many many things that are fully explained but will never be replicated on computers. Eg. Any numerical problem bigger than a computer.
atrielienz@lemmy.world 2 months ago
Science can and does quantify what our brains do vs what an LLM does though. That’s the point. That’s why the brain knows when it’s supplying wrong information or guessing but the LLM does not.
The LLM can provide wrong information. What it can’t do is intentionally lie.
A_A@lemmy.world 2 months ago
i agree with you that we are much better than LLMs in the fact we can verify our errors (and we can do much more things LLMs don’t do).
Still i am happy to have access to their vast memory and i know where they fail most of times so i can work with them in a productive way.
The day we provide them (or DNNs) with “Will” is i think when they will become (more) dangerous.
technocrit@lemmy.dbzer0.com 2 months ago
Gotta use heavy quotes around “will”… Mixing up your AI pseudo-science with your fascist pseudo-science.
atrielienz@lemmy.world 2 months ago
Nah fam. You’re comparing this thing to GM yourself and other humans because to you it sounds like us. “Sounds like” is the way phrasing conspiracy theorists use to try to make correlations regardless of whether they make sense or not without filling in any actual facts. Either you know and understand how they work and are researching this and have a valid rebuttal or you don’t. But an assumption does not make anything you said fact. People who are researching this have already refuted this claim.
You don’t even know what the word “will” would mean in this context, or that it would provide an LLM with the kind of consciousness required to be sapient. So can we stop arguing if you just admit that you like using LLM’s so you have a bias and a poor understanding of what they are and aren’t.