Epstein Secrets

ne article described Deep Blue’s victory not as that of a computer, which was just a dumb machine, but as the victory of hundreds of programmers over Kasparov, a single individual. That way of programming is changing dramatically. After a long hiatus, the power of machine learning has taken off. Much of th

, we programmed computers using algorithms we understood at least in principle. So when machines did amazing things like beating world chess champion Garry Kasparov, we could say that the victorious programs were designed with algorithms based on our own understanding—using, in this instance, the experience and a

e first meeting (in Washington, Connecticut) that preceded the crafting of this book, he commented on the change in how “information” is viewed since Wiener’s time: the military-industrial, Cold War era. Back then, Wiener compared information, metaphorically, to entropy, in that it could not be conserved—

and directed the slaves as they mindlessly (mechanically) churned their oars. The Greek had already migrated into modern English via Latin, going 47 Wiener later had to admit the earlier coinage of the word in 1834 by André-Marie Ampére, who had intended it to mean the “science of government,” a concept

ne article described Deep Blue’s victory not as that of a computer, which was just a dumb machine, but as the victory of hundreds of programmers over Kasparov, a single individual. That way of programming is changing dramatically. After a long hiatus, the power of machine learning has taken off. Much of th

, we programmed computers using algorithms we understood at least in principle. So when machines did amazing things like beating world chess champion Garry Kasparov, we could say that the victorious programs were designed with algorithms based on our own understanding—using, in this instance, the experience and a

e first meeting (in Washington, Connecticut) that preceded the crafting of this book, he commented on the change in how “information” is viewed since Wiener’s time: the military-industrial, Cold War era. Back then, Wiener compared information, metaphorically, to entropy, in that it could not be conserved—

and directed the slaves as they mindlessly (mechanically) churned their oars. The Greek had already migrated into modern English via Latin, going 47 Wiener later had to admit the earlier coinage of the word in 1834 by André-Marie Ampére, who had intended it to mean the “science of government,” a concept

a vast selection of possible future moves. But the majority of predictions of AI, e.g., robotic maids, turned out to be illusory. When Deep Blue beat Garry Kasparov at chess in 1997, the most 20 HOUSE_OVERSIGHT_016823 powerful room-cleaning robot was a Roomba, which moved around vacuuming at random and squeake

at our door.” In the wake of advances in unsupervised, self-improving machine learning, a small but influential community of thinkers is considering Wiener’s words again. In Deep Thinking, John Brockman gathers their disparate visions of where AI might be taking us. The fruit of the long history of Broc

a vast selection of possible future moves. But the majority of predictions of AI, e.g., robotic maids, turned out to be illusory. When Deep Blue beat Garry Kasparov at chess in 1997, the most 20 HOUSE_OVERSIGHT_016240 powerful room-cleaning robot was a Roomba, which moved around vacuuming at random and squeake

at our door.” In the wake of advances in unsupervised, self-improving machine learning, a small but influential community of thinkers is considering Wiener’s words again. In Deep Thinking, John Brockman gathers their disparate visions of where AI might be taking us. The fruit of the long history of Broc