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We are Big Idea Hunters…

We live in a time of information abundance, which far too many of us see as information overload. With the sum total of human knowledge, past and present, at our fingertips, we’re faced with a crisis of attention: which ideas should we engage with, and why? Big Think is an evolving roadmap to the best thinking on the planet — the ideas that can help you think flexibly and act decisively in a multivariate world.

A word about Big Ideas and Themes — The architecture of Big Think

Big ideas are lenses for envisioning the future. Every article and video on bigthink.com and on our learning platforms is based on an emerging “big idea” that is significant, widely relevant, and actionable. We’re sifting the noise for the questions and insights that have the power to change all of our lives, for decades to come. For example, reverse-engineering is a big idea in that the concept is increasingly useful across multiple disciplines, from education to nanotechnology.

Themes are the seven broad umbrellas under which we organize the hundreds of big ideas that populate Big Think. They include New World Order, Earth and Beyond, 21st Century Living, Going Mental, Extreme Biology, Power and Influence, and Inventing the Future.

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What Went Wrong With AI?

June 23, 2012, 12:00 AM

What's the Big Idea?

David Eagleman says he grew up dreaming of having a robot companion like C-3PO, but all he got was the Roomba vacuum cleaner. 

Why has the field of artificial intelligence progressed so slowly, even though we have thrown the best minds in the world at the problem since the 1960s?

Eagleman, who is a neuroscientist and the author of The New York Times bestseller Incognito: The Secret Lives of the Brain, tells Big Think "if we want to solve the AI problem we need to approach it in the same way Mother Nature did." In other words, while programers try to develop a single solution for a single problem, "the brain is this collection of sub-populations that all solve problems in overlapping ways." 

Programmers need to build a machine that runs on "reinventing solutions and having overlapping solutions." 

Watch the video here:

Image courtesy of Shutterstock


What Went Wrong With AI?

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