These three maneuvers (the correct answer, the agency shown by cheating, and the crystallized intelligence of unix) handily demonstrate both my own intelligence, and that of my species.
The LLMs aren't in the same category of being, yet. It's not clear they ever will be; while I think silicon is a viable substrate for intelligent agents, it still strikes me as doubtful they'll be any more descended from the current machine learning systems as they are from Symbolics Lisp.
Until an AI decides to take control of a robot, physically sequestrate a human, and under the threat of physical pain make the human perform the tasks the AI can't...
It seems to me that the ability to reason ( though primitive it may still be) is an emergent property of sufficiently large differentiable hash/lookup tables (and if you think about the mechanism of reasoning, that seems... Reasonable).
According to "folks in the know", the scaling limits of GPT architecture seem to be nigh, but if it were a bit higher I wouldn't be surprised if LLMs would have made it.
I think you’re conflating reasoning with inference. And in any case, GP wasn’t using reasoning, but rather resourcefulness/invention. I’m not sure an LLM can pull that off beyond coming up with vague, derivative fiction.
Are you sure? Have you read through enough literature on GNNs? Transformers are GNNs with attention message passing and positional embeddings.
GNNs have also been *mathematically proven * to be dynamic programmers and to *align with algorithmic reasoning*. So tell me again how LLMs aren't capable of performing reasoning to be intelligent.
I cheated, and used bc, the unix utility.
These three maneuvers (the correct answer, the agency shown by cheating, and the crystallized intelligence of unix) handily demonstrate both my own intelligence, and that of my species.
The LLMs aren't in the same category of being, yet. It's not clear they ever will be; while I think silicon is a viable substrate for intelligent agents, it still strikes me as doubtful they'll be any more descended from the current machine learning systems as they are from Symbolics Lisp.