A must-read, fully-up-to-date report on the holy grail of computing.
Many books proclaim that true artificial intelligence is on the horizon, and this expert overview makes a convincing case that genuine AI is…on the horizon.
New York Times technology correspondent Metz tells his engrossing story through the lives of a dozen geniuses, scores of brilliant men (mostly), and an ongoing, cutthroat industrial and academic arms race. He begins with a history of neural networks, an idea developed in the 1950s when it became clear that sheer calculating speed would never produce a smart computer. A neural network is an engineering system modeled on the web of neurons in the brain. Such systems can be “trained” by passing signals back and forth through multiple layers without being programmed with specific rules. Vastly overhyped, the concept led to few accomplishments—until the 21st century, when massive computer power and breakthroughs by Metz’s heroes have produced spectacular achievements. As the author astutely points out, calling it “artificial intelligence” may be a mistake. Today’s neural nets capable of “deep learning” don’t think, but they’re superb at pattern recognition. They can identify photographs and handwriting and respond with modest sophistication to verbal commands (Siri and Alexa). A computer employing deep learning is not a brain; it requires access to a titanic database and accomplishes a single task. The unbeatable chess player can’t play Jeopardy! That requires a different computer. Despite massive challenges, a handful of mega-companies (Google, Facebook, Apple, Amazon) and one mega-nation (China) have no doubts. For Elon Musk, “it was all wrapped up in the same technological trend. First image recognition. Then translation. Then driverless cars.” Then AI. Metz expresses optimism for the next decade but does not pin his hopes on the U.S. The Trump administration’s clampdown on immigration has diverted foreign talent and American investment elsewhere. Meanwhile, China has “built a domestic industry worth more than $150 billion…treating artificial intelligence like its own Apollo program.”
A must-read, fully-up-to-date report on the holy grail of computing.Pub Date: March 16, 2021
ISBN: 978-1-5247-4267-6
Page Count: 384
Publisher: Dutton
Review Posted Online: Dec. 24, 2020
Kirkus Reviews Issue: Jan. 15, 2021
Alternately admiring and critical, unvarnished, and a closely detailed account of a troubled innovator.
A warts-and-all portrait of the famed techno-entrepreneur—and the warts are nearly beyond counting.
To call Elon Musk (b. 1971) “mercurial” is to undervalue the term; to call him a genius is incorrect. Instead, Musk has a gift for leveraging the genius of others in order to make things work. When they don’t, writes eminent biographer Isaacson, it’s because the notoriously headstrong Musk is so sure of himself that he charges ahead against the advice of others: “He does not like to share power.” In this sharp-edged biography, the author likens Musk to an earlier biographical subject, Steve Jobs. Given Musk’s recent political turn, born of the me-first libertarianism of the very rich, however, Henry Ford also comes to mind. What emerges clearly is that Musk, who may or may not have Asperger’s syndrome (“Empathy did not come naturally”), has nurtured several obsessions for years, apart from a passion for the letter X as both a brand and personal name. He firmly believes that “all requirements should be treated as recommendations”; that it is his destiny to make humankind a multi-planetary civilization through innovations in space travel; that government is generally an impediment and that “the thought police are gaining power”; and that “a maniacal sense of urgency” should guide his businesses. That need for speed has led to undeniable successes in beating schedules and competitors, but it has also wrought disaster: One of the most telling anecdotes in the book concerns Musk’s “demon mode” order to relocate thousands of Twitter servers from Sacramento to Portland at breakneck speed, which trashed big parts of the system for months. To judge by Isaacson’s account, that may have been by design, for Musk’s idea of creative destruction seems to mean mostly chaos.
Alternately admiring and critical, unvarnished, and a closely detailed account of a troubled innovator.Pub Date: Sept. 12, 2023
ISBN: 9781982181284
Page Count: 688
Publisher: Simon & Schuster
Review Posted Online: Sept. 12, 2023
Kirkus Reviews Issue: Oct. 15, 2023
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Striking research showing the immense complexity of ordinary thought and revealing the identities of the gatekeepers in our...
A psychologist and Nobel Prize winner summarizes and synthesizes the recent decades of research on intuition and systematic thinking.
The author of several scholarly texts, Kahneman (Emeritus Psychology and Public Affairs/Princeton Univ.) now offers general readers not just the findings of psychological research but also a better understanding of how research questions arise and how scholars systematically frame and answer them. He begins with the distinction between System 1 and System 2 mental operations, the former referring to quick, automatic thought, the latter to more effortful, overt thinking. We rely heavily, writes, on System 1, resorting to the higher-energy System 2 only when we need or want to. Kahneman continually refers to System 2 as “lazy”: We don’t want to think rigorously about something. The author then explores the nuances of our two-system minds, showing how they perform in various situations. Psychological experiments have repeatedly revealed that our intuitions are generally wrong, that our assessments are based on biases and that our System 1 hates doubt and despises ambiguity. Kahneman largely avoids jargon; when he does use some (“heuristics,” for example), he argues that such terms really ought to join our everyday vocabulary. He reviews many fundamental concepts in psychology and statistics (regression to the mean, the narrative fallacy, the optimistic bias), showing how they relate to his overall concerns about how we think and why we make the decisions that we do. Some of the later chapters (dealing with risk-taking and statistics and probabilities) are denser than others (some readers may resent such demands on System 2!), but the passages that deal with the economic and political implications of the research are gripping.
Striking research showing the immense complexity of ordinary thought and revealing the identities of the gatekeepers in our minds.Pub Date: Nov. 1, 2011
ISBN: 978-0-374-27563-1
Page Count: 512
Publisher: Farrar, Straus and Giroux
Review Posted Online: Sept. 3, 2011
Kirkus Reviews Issue: Sept. 15, 2011
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