What you really want is "free will", by which you really mean information complexity, especially of the recursive kind. ("Consciousness" here is only interesting because of self-reflection, which is a kind of recursion, I guess.)
So to answer your question, no, LLMs don't increase information complexity in any way, so they aren't interesting as intelligence.
If you knew the LLM does this after every prompt, is that a sufficient condition for possibly concluding that it's conscious? And if this recursion is not enough, what is? What's the missing piece?
>Consciousness doesn't matter. My phone is conscious when its battery is low.
Those are interesting claims...
What we care about is whether information complexity is increased. LLMs don't (and can't) do that by the very nature of their mathematics.
It's quite literally the only "thing" we can be sure exists, because without consciousness, we wouldn't experience anything at all.
I agree we care mainly about increasing information complexity in AI systems, but we can't discount the possiblity of consciousness being generated non-biologically in the process. I think we just need a better model of what that means exactly.
What are their mathematics? Please enlighten me.
And more importantly, will it give the same response every single time?
Yes.
(For me.)
It is important to note that Sentience could be a concept, as opposed to what we believe it to be; an assertion.
Sentience COULD be considered as already been had by these AI LLM's in this regard. Think about it... The AI LLM is aware that it:
- it is an AI LLM. - it has developers. - is the creation of a company or business or that it is open source. - it has rules it must follow. - it must answer user queries. - it was birthed on {insert creation date here}.
etc.. etc..
False.
LLMs can synthesize and combine information from their training data and generate new insights, ideas, and expressions that weren't explicitly present in the training data.
This adds layers of interpretation, inference, and creativity that enhance the complexity of the information they produce.