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If ImageGAN approximated perfect classification skills, would it spontaneously develop the capability to detect and evade predators? No it wouldn’t, and I thin
by vermilingua 7y ago
If ImageGAN approximated perfect classification skills, would it spontaneously develop the capability to detect and evade predators?
No it wouldn’t, and I think you may have missed the point. It’s about constrained domains in the mathematical sense, that there is a clearly defined scope of inputs and outputs. It would simply be impossible for an AI service to develop outside that scope.
- luc4sdreyer 7y agoI think glenstein is already past that point, you might be talking about different things. Drexler's solution is pretty good but it seems like a stopgap measure. Sure, if the subsystem is bound and specific there's no AGI risk, but are we just going to call it a day and stop AI research? The article seems to agree with my sentiment: > The very fact that [a Drexlerian agent] is less effective than the Bostromian agent suggests there will be pressure to build the Bostromian agent eventually (Drexler disagrees with this, but I don’t understand why)
- glenstein 7y agoOne of the things I was really at pains to emphasize in my previous comment was that I think there are elements of information processing that are outrageously abstract, that would be familiar and accessible to AI but non-obvious to us. The transferability and generality that emerges would be nothing remotely so crude as the ImageGAN -> predator detection example that's being used to dismiss my point. An AI service that's only intended to solve one well defined problem may have pieces in its anatomy that are functionally equivalent to those in a different AI service solving a different kind of problem. You don't need to assume it's escaped the confines of it's well-defined domain, or that domains aren't well defined, for this to be true.