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portada If Anyone Builds It, Everyone Dies: The Case Against Superintelligent AI (en Inglés)
Formato
Libro Físico
Año
2025
Idioma
Inglés
N° páginas
272
Encuadernación
Tapa Dura
Dimensiones
24.2cm x 16.2cm
ISBN13
9781847928924

If Anyone Builds It, Everyone Dies: The Case Against Superintelligent AI (en Inglés)

Eliezer Yudkowsky And Nate Soares (Autor) · Vintage Publishing · Tapa Dura

If Anyone Builds It, Everyone Dies: The Case Against Superintelligent AI (en Inglés) - Eliezer Yudkowsky and Nate Soares

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Reseña del libro "If Anyone Builds It, Everyone Dies: The Case Against Superintelligent AI (en Inglés)"

The founder of the field of AI risk explains why superintelligent AI is a global suicide bomb and we must halt development immediately

AI is the greatest threat to our existence that we have ever faced.

The technology may be complex but the facts are simple. We are currently on a path to build superintelligent AI. When we do, it will be vastly more powerful than us. Whether it 'thinks' or 'feels' is irrelevant, but it will have objectives and they will be completely different from ours. And regardless of how we train it, even the slightest deviation from human goals will be catastrophic for our species - meaning extinction.

Precisely how this happens is unknowable, but we what do know is that when it happens, it will happen incredibly fast, and however it happens all paths lead to the same conclusion- superintelligent AI is a global suicide bomb, the labs who are developing it have no adequate plan or set of policies for tackling this issue, and we will not get a second chance.

From the leading thinkers in the field of AI risk, If Anyone Builds It, Everyone Dies explains with terrifying clarity why in the race to build superintelligent AI, the only winning move for our species is not to play.

The most important book I’ve read for years: I want to bring it to every political and corporate leader in the world and stand over them until they’ve read it. Yudkowsky and Soares, who have studied AI and its possible trajectories for decades, sound a loud trumpet call to humanity to awaken us as we sleepwalk into disaster. Their brilliant gift for analogy, metaphor and parable clarifies for the general reader the tangled complexities of AI engineering, cognition and neuroscience better than any book on the subject I’ve ever read, and I’ve waded through scores of them. We really must rub our eyes and wake the fuck up! - Stephen Fry

Should you worry about superintelligent AI? The answer from one of the tech world’s most influential doomsayers, Eliezer Yudkowsky, is emphatically yes. The good news? We aren’t there yet, and there are still steps we can take to avert disaster - Guardian Biggest Books of the Autumn

The most important book of the decade ... This captivating page-turner, from two of today's clearest thinkers, reveals that the competition to build smarter-than-human machines isn't an arms race but a suicide race, fuelled by wishful thinking - Max Tegmark, author of Life 3.0

If Anyone Builds It, Everyone Dies may prove to be the most important book of our time. Yudkowsky and Soares believe we are nowhere near ready to make the transition to superintelligence safely, leaving us on the fast track to extinction. Through the use of parables and crystal-clear explainers, they convey their reasoning, in an urgent plea for us to save ourselves while we still can - Tim Urban, co-founder of Wait But Why

The best no-nonsense, simple explanation of the AI risk problem I've ever read - Yishan Wong, former CEO of Reddit

Soares and Yudkowsky lay out, in plain and easy-to-follow terms, why our current path toward ever-more-powerful AIs is extremely dangerous - Emmett Shear, former interim CEO of OpenAI

An eloquent and urgent plea for us to step back from the brink of self-annihilation - Fiona Hill, Defence Advisor to UK government

Everyone should read this book. I’m 70% confident that you – yes, you reading this right now – will one day grudgingly admit that we all should have listened to Yudkowsky and Soares when we still had the chance - Daniel Kokotajlo, OpenAI whistleblower and lead author, AI 2027

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