3 ms·
> How does it not stand to reason that somewhere in that big ball of vector math there might be a rationale I think, a suggestion that it is actually reasoning
by flanked-evergl 4y ago
> How does it not stand to reason that somewhere in that big ball of vector math there might be a rationale
I think, a suggestion that it is actually reasoning along these lines would need more than "it is possible". What evidence would refute your claim in your eyes, what would make it clear to you that "that big ball of vector mat" has no rationale, and is not just trying to trick humans to press the thumbs up?
Of course the feedback is used to help control the output, so things that people downvote will be less likely to show up, but I have nothing to suggest to me that it is reasoning.
If you think it has intent, you have to explain by what mechanism it obtained it. Could it be emergent? Sure, it could be, I don't think it is, I have never seen anything that suggests it has anything that could be compatible with intent, but I'm open to some evidence that it has.
What I'm entirely convinced about is that it does what it was designed to do, which is generate output representative of its training data.
- llamaLord 4y agoI would at least start to be convinced that this is NOT the case if I ever saw it respond with something like "I actually don't know the answer to that query" or "as far as I'm aware, there is no way to do the thing you asked". These are responses that would have shown up innumerable times in it's training data and make perfect sense as "the most logical next set of tokens", and yet it will never say them. Instead it will hallucinate something that sounds nearly indistinguishable from fact, but turns out to be a total fabrication. If all its doing is returning the next most logical set of tokens, and the training data it was based on included a non-trivial number of examples where one party in the conversation didn't have a clear answer, then there's no reason GPT-4 should be so averse to simply saying "yeah, I dunno bro". The only logical reason I can see is that it's "learned" that it's more likely to receive the positive feedback signal when it makes up convincing bullshit, than if it states that it doesn't have an answer. EDIT: To be clear, I mean it telling me it doesn't know something BEFORE hallucinating something incorrect and being caught out on it by me. It will admit that it lied, AFTER being caught, but it will never (in my experience) state that it doesn't have an answer for something upfront, and will instead default to hallucinating. Also - even when it does admit to lying, it will often then correct itself with an equally convincing, but often just as untrue "correction" to its original lie. Honestly, anyone who wants to learn how to gaslight people just needs to spend a decent amount of time around GPT-4.