Accelerating Intelligence with AI-Generating Algorithms with Jeff Clune - #602

Accelerating Intelligence with AI-Generating Algorithms with Jeff Clune - #602

Are AI-generating algorithms the path to artificial general intelligence(AGI)? Today we’re joined by Jeff Clune, an associate professor of computer science at the University of British Columbia, and faculty member at the Vector Institute. In our conversation with Jeff, we discuss the broad ambitious goal of the AI field, artificial general intelligence, where we are on the path to achieving it, and his opinion on what we should be doing to get there, specifically, focusing on AI generating algorithms. With the goal of creating open-ended algorithms that can learn forever, Jeff shares his three pillars to an AI-GA, meta-learning architectures, meta-learning algorithms, and auto-generating learning environments. Finally, we discuss the inherent safety issues with these learning algorithms and Jeff’s thoughts on how to combat them, and what the not-so-distant future holds for this area of research. The complete show notes for this episode can be found at twimlai.com/go/602.

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Carlos Guestrin - Explaining the Predictions of Machine Learning Models - TWiML Talk #7

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Joshua Bloom - Machine Learning for the Stars & Productizing AI - TWiML Talk #5

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Charles Isbell - Interactive AI, Plus Improving ML Education - TWiML Talk #4

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Xavier Amatriain - Engineering Practical Machine Learning Systems - TWiML Talk #3

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