Epstein Secrets

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

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

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

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

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

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

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

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