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IANANR (I Am Not A Neuro-Researcher), but it seems to me the "only" step you're requiring is that of self-consciousness. We can explain why we think it's an ost
by swombat 11y ago
IANANR (I Am Not A Neuro-Researcher), but it seems to me the "only" step you're requiring is that of self-consciousness. We can explain why we think it's an ostrich because we can point our neural networks at themselves, and say, "what sort of thinking process does this look like? Oh, it looks like visual pattern recognition of certain features like a long hairless neck, bird features, etc, so that's why I think it's an ostrich."
We are capable of conceptual thinking because we can think about our own thoughts, and further think about our own thoughts about our own thoughts, etc, in an endless cascade of meta-thinking (which is in fact what thinking is). The ability to experience a gestalt, and the ability to think about it, are two major steps. We seem to have achieved the first, with current NNs. That's pretty amazing already!
I think the ability to be pointed at itself is a necessary step for those NNs to develop self-consciousness and, thereby, conceptual understanding. We're not there yet, for sure, but how much further are we? A few years? A decade? A few decades? The latter is no doubt a very pessimistic estimate (conservative AI researchers agree on this).
Human-style intelligence is certainly not here yet. But it is almost certainly just around the corner.
- white-flame 11y agoTo clarify, I'm not saying human-like AI is impossible or unreasonably far off. The author seems to be implying that what current NNs show is a viable form of intelligence that just happens to "think" in a different way that we need to figure out. I'm saying this particular manifestation of trained behavior is not viable for expanding into human-level intelligence, as there's no hope of meta-cognition (I don't use the term "self-consciousness" purely because it's overloaded with unreasonable fields). NNs would have to fundamentally change or be replaced in order to gain such. When we do achieve machine conceptual cognition & meta-cognition, it will be a system that will not "think" like feed-forward trained NNs, even if it shares some history or composition with that architecture.