Deep Learning is Splitting into Two Divergent Paths
Carlos E. Perez

Interesting. Obviously the likely order and time between AGI to ASI and human level sentience to super sentience is hard to understand, especially on the software side.

On the hardware side, I consider all the opacity that has resulted from evolution, in humans/animals. It’s hard for us to understand our hardware details. Where as I think a human level AI would see its own hardware more transparently than we see ours. Near-2D lithography and computer circuitry seems inherently more straight forward to understand and tinker with.

On Asia, it can’t hurt for Westerners to improve our reverse engineer skills. Strive for leadership first, but also don’t hesitate to learn from foreign competition.

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