Michael Vassar on Singularity 1 on 1

by Socrates on December 20, 2010

In this episode of Singularity 1 on 1 I interview Michael Vassar and we touch on a variety of issues from the technological singularity and the Singularity Institute for Artificial Intelligence, to religion and the feasibility of friendly AI.

My favorite quote from Michael: “The more you learn  - the more pessimistic you get, but the more you actually do - the more optimistic you get.”

Who is Michael Vassar?

Michael Vassar is the president of the Singularity Institute for Artificial Intelligence (SIAI), and provides overall leadership of the institution develops its research capabilities and its role as a forum for discussion of the challenges and potential of artificial general intelligence. He is also responsible for the organization of the Singularity Summit. Previously, he was a Founder and Chief Strategist at SirGroovy.com, an online music licensing firm. Prior to that, he held positions with Aon, the Peace Corps, and the National Institute of Standards and Technology. Michael has been writing and speaking on topics related to the safe development of disruptive technologies for a number of years: his papers include the Lifeboat Foundation analysis of the risks of advanced molecular manufacturing co-authored with Robert Freitas, and “Corporate Cornucopia”, authored for the Center for Responsible Nanotechnology Task Force. He holds an M.B.A. and a B.S. in biochemistry.

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  • http://www.facebook.com/Poley.Holy.Guacamole.Lickdomole Paul Victor Vazquez

    That was short.

  • http://singularityblog.singularitysymposium.com/ Socrates

    The question is, though, do you like it or not…

  • http://www.daveenjoys.com/2010/12/26/thinking-well-christianity-and-singularity-part-1-why-it-matters/ Thinking Well: Christianity and Singularity (Part 1: Why it Matters) | Dave Enjoys

    [...] Michael Vassar on Singularity 1 on 1 (singularityblog.singularitysymposium.com) [...]

  • http://twitter.com/CMStewartWrite CMStewart

    That makes sense- build an AI to want what we want. Of course, that would require more work than what most scientists are willing to consider at this point. The AI race has already begun.

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