Earlier quoted context omitted.
IF we take it as given that an AGI must think exactly like a human, then I might say I agree with you. We aren't necessarily close to emulating a human being in software, and I'm actually doubtful we will for a VERY long time. BUT... if we only care about the outcome and the utility of the AGI, and don't expect it to be fully "human like" then I think that Watson (and Deep Blue, etc.) do represent steps on that road.…
> if we only care about the outcome and the utility of the AGI, and don't expect it to be fully "human like" I'm not even sure whether that's a meaningful distinction. Searle's Chinese Room et cetera. I'm with you in the wing analogy, I fully agree. I just don't think Watson or Deep Blue is a significant approach even in that direction. Human-like or not, we have certain expectations from our hypothetical AGI in term…
The man in the room may not understand Chinese, but he is using a dictionary, which to a casual observer appears suspiciously thick. Just how thick would the dictionary need to be in order to provide a sensible response for all possible lines of enquiry?
Searle's argument reduces a room which understands Chinese to a dictionary which understands Chinese. A strange loop indeed.
With regard to serious systems attempting to solve AGI — are you aware of Jeff Hawkins' work on hierarchical temporal memory?