5 ms·
I think many people expect that a lot of the missing "special sauce" for AGI (if anyone can figure it out at all) is going to be something for which massive GPU
by drcode 7y ago
I think many people expect that a lot of the missing "special sauce" for AGI (if anyone can figure it out at all) is going to be something for which massive GPU power isn't a key factor.
- goatlover 7y agoWhich will be the cognitive part. The machine learning is more like perception. But perception needs to be tied into an understanding of the world where inferences can be made and one can adjust quickly to a changing environment, while learning new domains or even creating new combinations. This also includes the social-emotional world of humans and language (and not just translation), of course.
- rfhjt 7y agoMaybe there is no secret. Just like image recognition is just a bunch of well connected matrices running a dumb algorithm, but at a great speed by GPUs, intelligence is just 100 billions dumb nano-computers with the logic of a fairly simple finite state automata, but with 10 thousand network connections per node. How does nematoda transfer intelligence to its copies? By encoding the FSA properties in the DNA. If this is the case, we'll see the next chapter of AI once a typical smartphone runs a million dumb programmable nanocomputers with a very sense network topology: people will just run the same dumb algorithms on this devices and discover that it exhibits the basic properties of nematoda-level AI. And thus AI would be a dumb engineering problem.