The Evolution of Artificial Intelligence

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It's better to almost take an evolutionary approach where we're creating these mutations or copying errors. We see which of those experiments leads to some interesting insights or conclusions. Then the idea being we take those conclusions or that interesting insight and then we propagate it to all the other nodes, almost like nature rewarding variations. The crux of the matter is to really delve into the issue of what is interesting.

Artificial intelligence researcher and author Kenneth Stanley has argued that “as soon as you create an objective, you ruin your ability to reach it.” So what should you consider when thinking about your objectives, and what will set you up for success? On this episode Stanley discusses how to set the right objectives for your life, why we’re too tied to accomplishments, what role accountability plays in our education system, the value of peer review, why transformative innovations are always counter intuitive, and so much more. Stanley is the co–author of Why Greatness Cannot Be Planned: The Myth of the Objective, as well as the former Head of Core AI Research at Uber AI and the Open-Endedness Team Leader at OpenAI. He has also served as the Charles Millican Professor in Computer Science at University of Central Florida.

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