Fast thinking/slow thinking by Daniel Kannerman (and the Unlocking Project) is a book people need to read and understand.
When we slow think, we work things out, when we fast think we are parrots.
Hmm. If you want to argue that ChatGPT has half of what an AI needs, I could buy that a lot more than I buy "ChatGPT is the road to AGI".
Do inference engines have the other half? Or Cyc plus an inference engine? Can that be coupled to ChatGPT?
My own (completely uninformed) take is that such a coupled AI would be very formidable (far more than ChatGPT), but that it will be very hard to do so, because the representations are totally different. Like, really totally - there is no common ground at all.
I just meant "half" in the sense that there are two major chunks that are needed. I did not mean that each "half" was used as much as the other, or was as much work to implement.
Do inference engines have the other half? Or Cyc plus an inference engine? Can that be coupled to ChatGPT?
My own (completely uninformed) take is that such a coupled AI would be very formidable (far more than ChatGPT), but that it will be very hard to do so, because the representations are totally different. Like, really totally - there is no common ground at all.