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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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“An important ebook on AI this 12 months.” (The Guardian)”Mr. Russell’s thrilling ebook goes deep, whereas glowing with dry witticisms.” (The Wall Avenue Journal)”An important ebook I’ve learn in fairly a while” (Daniel Kahneman)”A must-read” (Max Tegmark)”The ebook we have all been ready for” (Sam Harris)A number one synthetic intelligence researcher lays out a brand new strategy to AI that can allow us to coexist efficiently with more and more clever machines.Within the fashionable 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 situation might be prevented, however provided that we rethink AI from the bottom up. Russell begins by exploring the thought of intelligence in people and in machines. He describes the near-term advantages we are able to count on, from clever private assistants to vastly accelerated scientific analysis, and descriptions the AI breakthroughs that also need to 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 could 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 are able to rebuild AI on a brand new basis, in response to 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 can be provably deferential and provably useful.
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