Epstein Secrets

Dennett, David Deutsch, Anca Dragan, George Dyson, Peter Galison, Neil Gershenfeld, 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 Wil

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.

rg’s Modernism and the Bureaucratization of the Senses; Machine in the Studio: Constructing the Postwar American Artist; and The Global Work of Art. David Kaiser is Germeshausen Professor of the History of Science and professor of physics at MIT, and head of its Program in Science, Technology & Society. He is

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

, prompting him to ask, “Do we need a new set of guiding metaphors?” 108 HOUSE_OVERSIGHT_016911 “INFORMATION” FOR WIENER, FOR SHANNON, AND FOR US David Kaiser David Kaiser is Germeshausen Professor of the History of Science and professor of Physics at MIT, and head of its Program in Science, Technology & Soc

It’s fun to show it an abstract painting and see what it says. But it does a pretty good job. It works using the same neural-network technology that McCulloch and Pitts imagined in 1943 and lots of us worked on in the early eighties. Back in the 1980s, people successfully did OCR—optical character recogniti

rg’s Modernism and the Bureaucratization of the Senses; Machine in the Studio: Constructing the Postwar American Artist; and The Global Work of Art. David Kaiser is Germeshausen Professor of the History of Science and professor of physics at MIT, and head of its Program in Science, Technology & Society. He is

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

ines to seem as smart as a mosquito, forever descending the cosmic gradients to an ultimate goal, whatever that may be. 107 HOUSE_OVERSIGHT_016327 David Kaiser is a physicist atypically interested in the intersection of his science with politics and culture, about which he has written widely. In the first m

It’s fun to show it an abstract painting and see what it says. But it does a pretty good job. It works using the same neural-network technology that McCulloch and Pitts imagined in 1943 and lots of us worked on in the early eighties. Back in the 1980s, people successfully did OCR—optical character recogniti