Epstein Secrets

me with a score in the game, and in some cases it finds a loophole that it exploits to gain infinitely many points without actually winning the race. Stuart Russell and Peter Norvig give a beautiful example in their book Artificial Intelligence: A Modern Approach: rewarding a vacuuming robot for how much dust it

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

me with a score in the game, and in some cases it finds a loophole that it exploits to gain infinitely many points without actually winning the race. Stuart Russell and Peter Norvig give a beautiful example in their book Artificial Intelligence: A Modern Approach: rewarding a vacuuming robot for how much dust it

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

most of their careers, have thought deeply about Wiener's ideas in the context of their own scientific fields: the AI researchers Dario Amodei and Stuart Russell; the communications theorist Joichi "Joi" Ito; the complex adaptive systems researcher Geoffrey West; the computational socia)1 scientist Alex "San

d science philanthropist, who, in the abstract for his essay, writes: "An interesting cultural evolution is happening in the AI research community. Wiener's original warnings were buried for 50+ years, only to re-emerge within a small community of 'dissidents,' and are now slowly—and very encouragingl

r most of their careers, have =hought deeply about Wiener's ideas in the context of their own scientific fields: the Al =esearchers Dario Amodei and Stuart Russell; the communications theorist =oichi "Joi" Ito; the complex adaptive systems researcher Geoffrey West; the =omputational socia)l scientist Alex "Sand

nd =cience philanthropist, who, in the abstract for his essay, =rites: "An interesting cultural evolution is happening =n the Al research community. Wiener's original warnings were buried for 50+ =ears, only to re-emerge within a small community of 'dissidents,' and are now =lowly—and very encouragingly

cial issues AI presents. The collision between opposing perspectives is salutary and exhilarating; some of these figures, such as computer scientist Stuart Russell, Skype co-founder Jaan Tallinn, and physicist Max Tegmark, are deeply concerned with the threat of AI, including the existential one, while others, n

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

cial issues AI presents. The collision between opposing perspectives is salutary and exhilarating; some of these figures, such as computer scientist Stuart Russell, Skype co-founder Jaan Tallinn, and physicist Max Tegmark, are deeply concerned with the threat of AI, including the existential one, while others, n

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