Epstein Secrets

ter John Doerr yson , Freeman Dyso son [email protected]>. Tony FadeII • , Bill Gates Timo Hannay < , Maja Hoffmann Bill Jo Joichi Ito Daniel Kahneman , Salar Kamangar , Evgeny Lebedev , Dave Morin athan Myhrvold Jean Pigozzi "J.E. Safra/Doumanian" , Eric Schmidt Jeff Skoll Yossi Vardi , C

993, p. 80 ... ...Pretty soon you'll have no more idea of what computer you're using than you have an idea of where your electricity is generated. Danny Hillis, Wired 2.01, Jan 1994, p. 103 If we're ever going to make a thinking machine, we're going to have to face the problem of being able to build things

nbe er Russell Levin Janna , "Markoff, John" , Tim O'Reilly , Steinhardt Paul Jimmy Wales , Brand Stewart , Minsk Marvin , Gershenfeld Neil , Daniel Kahneman Mullainathan Sendhil Bezos Jeff son Freeman Llo d Seth , Kreye Andrian Pinker Steven , Myhrvold Nathan Williams Evan Norvi. Peter Diamandk

GateDavid Gelernter, Niel Gershenfeld, Gerd Gigerenzer, Anthony Grayling, Brian Greene, Alan Guth, Jonathan Haidt, Sam Harris, Virginia Heffernan, Danny Hillis, Jennifer Jacquet, Seth Lloyd, Daniel Kahneman, Salar Kamangar, Dean Kamen, Kelly Kevin, Vinod Khosla, Lawrence Krauss, Andrian Kreye, Janna Levin,

orge Dyson, Science Historian Tony Fadell, Apple Computer Bill Gates, Gates Foundation W. Daniel Hillis, Applied Minds Bill Joy, Kleiner Perkins Daniel Kahneman, Princeton University Salar Kamangar, Google Dean Kamen, Deka Research Katinka Matson, Edge Foundation, Inc. Elon Musk, Tesla Motors, SpaceX Nat

. There are no charges. Rather than the resort experience of the last two years, this year we we plan to move around. Both Elon Musk at SpaceX and Danny Hillis at Applied Minds have offered to host the class, so I suggest finding a hotel midway between the two in Beverly Hills (such as the Bel Air or th

ezos Jeff D Swisher Kara Steven • on Freeman Llo Kre e Andrian Levin Janna Victoria Stodden West Geoffre son George , Gershenfeld Neil • Daniel Kahneman , • Mullainathan Sendhil , Pinker Steven , Myhrvold Nathan , Williams Evan , Norvi Peter d Seth Heffeman • , Mossberg Walter , Rushkoff Dou

l GateDavid Gelemter, Niel Gershenfeld, Gerd Gigerenzer, Anthony Grayling, Brian Greene, Alan Guth, Jonathan Haidt, Sam Harris, Virginia Heffernan, Danny Hillis, Jennifer Jacquet, Seth Lloyd, Daniel Kahneman, Salar Kamangar, Dean Kamen, Kelly Kevin, Vinod Khosla, Lawrence Krauss, Andrian Kreye, Janna Levin,

-266-5930 this weekend Begin forwarded message: From: John Brockman Date: June 6, 2009 12:11:50 PM EDT To: Danny Hillis Daniel Hillis" e ezos Daniel Kahneman Subject: Nathan's assignment? Nick PrtizIcer's hotel; misc. George Dyson What should Nathan talk about? (See below) I am completely open to creati

hn Brockman wrote: JE, Fyi. JB 203-266-5930 this weekend Begin forwarded message: From: John Brockman Date: June 6, 2009 12:11:50 PM EDT To: Danny Hillis Daniel Hillis" e ezos Daniel Kahneman Subject: Nathan's assignment? Nick PrtizIcer's hotel; misc. George Dyson What should Nathan talk about?

d Gigerenzer, Anthony Grayling, Brian Greene, Alan Guth, Jonathan Haidt, Sam Harris, Virginia Heffernan, Danny Hillis, Jennifer Jacquet, Seth Lloyd, Daniel Kahneman, Salar Kamangar, Dean Kamen, Kelly Kevin, Vinod Khosla, Lawrence Krauss, Andrian Kreye, Janna Levin, Steven Levy, Andrei Linde, Chiara Marletto, Jo

l GateDavid Gelemter, Niel Gershenfeld, Gerd Gigerenzer, Anthony Grayling, Brian Greene, Alan Guth, Jonathan Haidt, Sam Harris, Virginia Heffernan, Danny Hillis, Jennifer Jacquet, Seth Lloyd, Daniel Kahneman, Salar Kamangar, Dean Kamen, Kelly Kevin, Vinod Khosla, Lawrence Krauss, Andrian Kreye, Janna Levin,

mits on computational resources. The efficacy of human algorithms springs from what AI researchers refer to as “bounded optimality.” As psychologist Daniel Kahneman has notably pointed out, human beings are rational only up to a point. If you were perfectly rational, you would risk dropping dead before making an

lub meetings, I got to know two young researchers who were about to play key roles in revolutionizing computer science. At MIT in the late seventies, Danny Hillis developed the algorithms that made possible the massively parallel computer. In 1983, his company, Thinking Machines, built the world's fastest super

xperiments like John Searle’s Chinese Room and Isaac Asimov’s Three Laws of Robotics all appeal to the sorts of intuitions plaguing human brains that Daniel Kahneman, Amos Tversky, and others have demonstrated. The Chinese Room experiment posits that a mind composed of mechanical and Homo sapiens parts cannot be c

to form civilizations. This grand evolutionary loop can now be closed, with atoms arranging bits arranging atoms. 119 HOUSE_OVERSIGHT_016922 While Danny Hillis was an undergraduate at MIT, he built a computer out of Tinkertoys. It has around 10,000 wooden parts, plays tic-tac-toe, and never loses; it’s now i

mits on computational resources. The efficacy of human algorithms springs from what AI researchers refer to as “bounded optimality.” As psychologist Daniel Kahneman has notably pointed out, human beings are rational only up to a point. If you were perfectly rational, you would risk dropping dead before making an

lub meetings, I got to know two young researchers who were about to play key roles in revolutionizing computer science. At MIT in the late seventies, Danny Hillis developed the algorithms that made possible the massively parallel computer. In 1983, his company, Thinking Machines, built the world's fastest super

xperiments like John Searle’s Chinese Room and Isaac Asimov’s Three Laws of Robotics all appeal to the sorts of intuitions plaguing human brains that Daniel Kahneman, Amos Tversky, and others have demonstrated. The Chinese Room experiment posits that a mind composed of mechanical and Homo sapiens parts cannot be c

to form civilizations. This grand evolutionary loop can now be closed, with atoms arranging bits arranging atoms. 119 HOUSE_OVERSIGHT_016339 While Danny Hillis was an undergraduate at MIT, he built a computer out of Tinkertoys. It has around 10,000 wooden parts, plays tic-tac-toe, and never loses; it’s now i