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shenfeld, Alison Gopnik, Tom Griffiths, Danny Hillis, Caroline A. Jones, David Kaiser, Seth Lloyd, Hans Ulrich Obrist, Judea Pearl, Sandy Pentland, Steven Pinker, Venki Ramakrishnan, Stuart Russell, Jaan Tallin, Max Tegmark, Frank Wilczek, and Stephen Wolfram. Stewart Brand, in his jacket blurb, nicely frame
rich Obrist, Judea Pearl, Sandy Pentland, Steven Pinker, Venki Ramakrishnan, Stuart Russell, Jaan Tallin,
ver the sessions and decided who to invite and what they should talk about. von Foerster, as Secretary, was the driving force of the project. It was McCulloch who insisted over Norbert Wiener's objections that "mind" be introduced into the mix, and for this, he recruited Gregory Bateson and Margaret Mead.
her Daniel Dennett, and bestselling author Steven Pinker, have a very different view. Serious, searching a
t of AI, including the existential one, while others, notably robotics entrepreneur Rodney Brooks, philosopher Daniel Dennett, and bestselling author Steven Pinker, have a very different view. Serious, searching and authoritative, Deep Thinking lays out the intellectual landscape of one of the most important top
t its consequences are intimately bound up in the idea of an impending technological singularity. His work on neuroscience and his initial support of McCulloch and Pitts adumbrated the startlingly effective deep-learning methods of the present day. Over the past decade, and particularly in the last five year
her Daniel Dennett, and bestselling author Steven Pinker, have a very different view. Serious, searching a
t of AI, including the existential one, while others, notably robotics entrepreneur Rodney Brooks, philosopher Daniel Dennett, and bestselling author Steven Pinker, have a very different view. Serious, searching and authoritative, Deep Thinking lays out the intellectual landscape of one of the most important top
t its consequences are intimately bound up in the idea of an impending technological singularity. His work on neuroscience and his initial support of McCulloch and Pitts adumbrated the startlingly effective deep-learning methods of the present day. Over the past decade, and particularly in the last five year
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