Kurzweil talks about the current deep learning need for billions of examples or generation of examples

Ray Kurzweil gives an MIT course 6.S099: Artificial General Intelligence. For this entire recording, Ray did not use slides, so the video does not show any slides. This class is free and open to everyone. The goal is to take an engineering approach to exploring possible paths toward building human-level intelligence for a better world.

The game of Go can create billions of examples by simulating the game. Math is something which can have billions of examples generated.

Ray has a team of 45 people at Google where he is A Director of Engineering.

Gmail smart reply is the AI system Ray created. It gives an option of three replies based on reading the email.

Ray says we are a decade away from longevity escape velocity. Ray says he might be at longevity escape velocity. Ray says this at about 27 minutes.

Ray says you need to work hard to maintain and improve your health to maintain statistical longevity escape velocity.


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