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
Cogent, well-timed ideas for meeting today’s biggest challenges.
Helping liberals get out of their own way.
Klein, a New York Times columnist, and Thompson, an Atlantic staffer, lean to the left, but they aren’t interrogating the usual suspects. Aware that many conservatives have no interest in their opinions, the authors target their own side’s “pathologies.” Why do red states greenlight the kind of renewable energy projects that often languish in blue states? Why does liberal California have the nation’s most severe homelessness and housing affordability crises? One big reason: Liberal leadership has ensnared itself in a web of well-intentioned yet often onerous “goals, standards, and rules.” This “procedural kludge,” partially shaped by lawyers who pioneered a “democracy by lawsuit” strategy in the 1960s, threatens to stymie key breakthroughs. Consider the anti-pollution laws passed after World War II. In the decades since, homeowners’ groups in liberal locales have cited such statutes in lawsuits meant to stop new affordable housing. Today, these laws “block the clean energy projects” required to tackle climate change. Nuclear energy is “inarguably safer” than the fossil fuel variety, but because Washington doesn’t always “properly weigh risk,” it almost never builds new reactors. Meanwhile, technologies that may cure disease or slash the carbon footprint of cement production benefit from government support, but too often the grant process “rewards caution and punishes outsider thinking.” The authors call this style of governing “everything-bagel liberalism,” so named because of its many government mandates. Instead, they envision “a politics of abundance” that would remake travel, work, and health. This won’t happen without “changing the processes that make building and inventing so hard.” It’s time, then, to scrutinize everything from municipal zoning regulations to the paperwork requirements for scientists getting federal funding. The authors’ debut as a duo is very smart and eminently useful.
Cogent, well-timed ideas for meeting today’s biggest challenges.Pub Date: March 18, 2025
ISBN: 9781668023488
Page Count: 320
Publisher: Avid Reader Press
Review Posted Online: Jan. 16, 2025
Kirkus Reviews Issue: Feb. 15, 2025
BOOK REVIEW
PERSPECTIVES
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
BOOK REVIEW
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