Epstein Secrets

day” (as the title of a book by civil libertarian Harvey Silverglate puts it) and is in jeopardy of impris

is a science historian, Joseph Pellegrino University Professor and co- founder of the Black Hole Initiative at Harvard University, and the author of Einstein's Clocks and Poincaré ’s Maps: Empires of Time. Neil Gershenfeld is a physicist and director of MIT’s Center for Bits and Atoms. He is the author of

erintelligent machines—their actions by definition unpredictable by us and their ' Omohundro, “The Basic AI Drives,” in Proc. First AGI Conf., 171: “Artificial General Intelligence,” eds. P. Wang, B. Goertzel, & S. Franklin (IOS press, 2008). 30 HOUSE_OVERSIGHT_016833 imperfectly specified objectives conflicting with our own—

is a science historian, Joseph Pellegrino University Professor and co- founder of the Black Hole Initiative at Harvard University, and the author of Einstein's Clocks and Poincaré ’s Maps: Empires of Time. Neil Gershenfeld is a physicist and director of MIT’s Center for Bits and Atoms. He is the author of

day” (as the title of a book by civil libertarian Harvey Silverglate puts it) and is in jeopardy of impris

erintelligent machines—their actions by definition unpredictable by us and their ' Omohundro, “The Basic AI Drives,” in Proc. First AGI Conf., 171: “Artificial General Intelligence,” eds. P. Wang, B. Goertzel, & S. Franklin (IOS press, 2008). 30 HOUSE_OVERSIGHT_016250 imperfectly specified objectives conflicting with our own—

- and which, we conjecture, is structurally and dynamically basically the same as the creativity underlying the genius of adult human creators like Einstein, Dali, Dostoevsky, Hendrix, and so forth ... and as the creativity that will power massively capable genius machines in future. We will consider th

Goel0b. Ben et al Coertzel. A general intelligence oriented architecture for embodied natural language processing. In Proc. of the Third Conf. on Artificial General Intelligence (ACI-10). Atlantis Press, 2010. Cool 1 a. B Coertzel. Integrating a compositional spatiotemporal deep learning network with symbolic representati