The Myth of Artificial Intelligence: Why Computers Can’t Think the Way We Do

"If you want to know about AI, read this book...It shows how a supposedly futuristic reverence for Artificial Intelligence retards progress when it denigrates our most irreplaceable resource for any future progress: our own human intelligence." --Peter Thiel "Larson worries that we're making two mistakes at once, defining human intelligence down while overestimating what AI is likely to achieve...Another concern is learned passivity: our tendency to assume that AI will solve problems and our failure, as a result, to cultivate human ingenuity." --Wall Street Journal "A convincing case that artificial general intelligence--machine-based intelligence that matches our own--is beyond the capacity of algorithmic machine learning because there is a mismatch between how humans and machines know what they know." --Sue Halpern, New York Review of Books "Exposes the vast gap between the actual science underlying AI and the dramatic claims being made for it." --John Horgan Ever since Alan Turing, AI enthusiasts have equated artificial intelligence with human intelligence. Erik Larson is convinced this is a profound mistake. A tech entrepreneur and research scientist working at the forefront of natural language processing, he takes us on a tour of the landscape of AI to show how far we are from superintelligence, and what it would take to get there. AI works on inductive reasoning, crunching data sets to predict outcomes. But humans don't correlate data sets. We make conjectures, informed by context and experience. Human intelligence is a web of best guesses. And we haven't a clue how to program that kind of intuitive reasoning, which lies at the heart of common sense. Futurists insist AI will soon eclipse the capacities of the most gifted human mind, but Larson shows we aren't really on the path to developing superintelligent machines. In fact, we don't even know where that path might be.

Computers & Technology

Larson, Erik J.

Computer Science

Belknap Press: An Imprint of Harvard University Press

"If you want to know about AI, read this book...it shows how a supposedly futuristic reverence for Artificial Intelligence retards progress when it denigrates our most irreplaceable resource for any future progress: our own human intelligence."--Peter Thiel A cutting-edge AI researcher and tech entrepreneur debunks the fantasy that superintelligence is just a few clicks away--and argues that this myth is not just wrong, it's actively blocking innovation and distorting our ability to make the crucial next leap. Futurists insist that AI will soon eclipse the capacities of the most gifted human mind. What hope do we have against superintelligent machines? But we aren't really on the path to developing intelligent machines. In fact, we don't even know where that path might be. A tech entrepreneur and pioneering research scientist working at the forefront of natural language processing, Erik Larson takes us on a tour of the landscape of AI to show how far we are from superintelligence, and what it would take to get there. Ever since Alan Turing, AI enthusiasts have equated artificial intelligence with human intelligence. This is a profound mistake. AI works on inductive reasoning, crunching data sets to predict outcomes. But humans don't correlate data sets: we make conjectures informed by context and experience. Human intelligence is a web of best guesses, given what we know about the world. We haven't a clue how to program this kind of intuitive reasoning, known as abduction. Yet it is the heart of common sense. That's why Alexa can't understand what you are asking, and why AI can only take us so far. Larson argues that AI hype is both bad science and bad for science. A culture of invention thrives on exploring unknowns, not overselling existing methods. Inductive AI will continue to improve at narrow tasks, but if we want to make real progress, we will need to start by more fully appreciating the only true intelligence we know--our own.

JACOB “JAKE” MOORE is a thirty five year old founder and head of a software startup in Palo Alto, California, whose life is spinning out of control after a divorce.  He's in the grips of an addiction to alcohol that threatens his company fortunes, his relationships and, ultimately, his life.  As the story begins Moore is leaving or "discharging" from a rehabilitation center for drug and alcohol abuse in Scott's Valley, California, known as "The Camp."  His girlfriend of one year, a beautiful, twenty six year old super-model type of Russian—known only as "The Girl" in the novel—has unceremoniously dumped him with a brief text message sent the night before his release.  Moore goes on a "bender,” as he calls it, an adventurous romp from city to city while perpetually imbibing.  In Benderland, Moore has a viciously good time, it would seem, even as he painfully recounts the morning experiences of a drinker and reveals an impressive, almost humorous command of the medical and scientific issues surrounding alcoholism.  His first stop fresh out of The Camp is back in Palo Alto, where he pops into a bar once frequented with his advisor MICKEY—a millionaire software entrepreneur who splits his time between Palo Alto and Portugal.  In the bar we learn more about Moore's history, his relationships... and his obsession with women.    Meeting women in Benderland is what Moore calls a "vignette"—a little slice of poignant yet ephemeral experience one can have when traveling in Benderland.  Yet in spite of their evanescent nature, his vignettes paint pictures of the beauty of human interactions and the magical qualities of young women: their dreams, their desires, and their charm for him.

Benderland

Literature & Fiction

Humor & Satire

CreateSpace Independent Publishing Platform

Si quieres saber qué es la Inteligencia Artificial, lee este libro ― Peter Thiel, fundador de PayPal.\nLos mesías del futuro insisten en afirmar que la Inteligencia Artificial pronto eclipsará las capacidades de las mentes humanas con más talento. Según ellos, no queda ninguna esperanza, pues el avance de las máquinas superinteligentes es imparable. Pero la realidad es que ni estamos en el camino hacia el desarrollo de máquinas inteligentes ni sabemos siquiera dónde podría hallarse ese camino.\nErik Larson es un científico e investigador pionero en el procesamiento del lenguaje natural, además de empresario tecnológico que trabaja a la vanguardia de la IA. En este libro nos acompaña en un recorrido por el panorama actual de este ámbito para demostrar lo lejos que estamos realmente de la superinteligencia y qué sería necesario para llegar a ella.\nDesde Alan Turing, los entusiastas de la inteligencia artificial han caído en el profundo error de equipararla con la inteligencia humana. Pero la IA trabaja con el razonamiento inductivo, procesando conjuntos de datos para predecir resultados, mientras que los humanos no correlacionamos conjuntos de datos: hacemos conjeturas a partir de la información del contexto y de la experiencia. No tenemos ni idea de cómo programar este tipo de razonamiento basado en la intuición, conocido como razonamiento abductivo.\nEl verdadero problema es que la exageración alrededor de la IA no solo es mala ciencia, sino que también es mala para la ciencia. La cultura de la innovación florece cuando explora lo desconocido, no cuando exagera las virtudes de las tecnologías existentes. La IA inductiva seguirá mejorando en la realización de tareas específicas, pero si queremos lograr un progreso real, debemos comenzar por apreciar plenamente la única inteligencia verdadera que conocemos: la nuestra.

El mito de la Inteligencia Artificial: Por qué las máquinas no pueden pensar como nosotros lo hacemos

Politics & Social Sciences

Sociology

Shackleton books

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Books by Larson, Erik J.

See the best price to sell, buy, or rent books by Larson, Erik J.. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

The Myth of Artificial Intelligence: Why Computers Can’t Think the Way We Do

The Myth of Artificial Intelligence: Why Computers Can’t Think the Way We Do

Benderland

El mito de la Inteligencia Artificial: Por qué las máquinas no pueden pensar como nosotros lo hacemos