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Length: 11 hours and 38 minutes
Author: Stuart Russell
Narrated by: Raphael Corkhill
Category: AI & Machine Learning
Publisher: Penguin Audio
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“A very powerful e-book on AI this 12 months.” (The Guardian)”Mr. Russell’s thrilling e-book goes deep, whereas glowing with dry witticisms.” (The Wall Road Journal)”A very powerful e-book I’ve learn in fairly a while” (Daniel Kahneman)”A must-read” (Max Tegmark)”The e-book we have all been ready for” (Sam Harris)A number one synthetic intelligence researcher lays out a brand new strategy to AI that may allow us to coexist efficiently with more and more clever machines.Within the common creativeness, superhuman synthetic intelligence is an approaching tidal wave that threatens not simply jobs and human relationships, however civilization itself. Battle between people and machines is seen as inevitable and its end result all too predictable.On this groundbreaking audiobook, distinguished AI researcher Stuart Russell argues that this state of affairs may be prevented, however provided that we rethink AI from the bottom up. Russell begins by exploring the concept of intelligence in people and in machines. He describes the near-term advantages we will count on, from clever private assistants to vastly accelerated scientific analysis, and descriptions the AI breakthroughs that also must occur earlier than we attain superhuman AI. He additionally spells out the methods people are already discovering to misuse AI, from deadly autonomous weapons to viral sabotage.If the anticipated breakthroughs happen and superhuman AI emerges, we may have created entities way more highly effective than ourselves. How can we guarantee they by no means, ever, have energy over us? Russell means that we will rebuild AI on a brand new basis, in line with which machines are designed to be inherently unsure concerning the human preferences they’re required to fulfill. Such machines can be humble, altruistic, and dedicated to pursue our targets, not theirs. This new basis would enable us to create machines which are provably deferential and provably helpful.
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