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Talk to Me

How Voice Computing Will Transform the Way We Live, Work, and Think

Audiobook
1 of 1 copy available
1 of 1 copy available
A New York Times Magazine writer explores the Next Big Thing in tech-the impending revolution in voice recognition-and shows how it will upend Silicon Valley and transform how we use computers, the Web, and much more. Every decade or so brings a seismic shift in how people interact with tech, from the PC to the internet to the smartphone. James Vlahos shows that we are on the cusp of the next shift: to voice computing. Siri and Alexa are early forms of this technology, but the day is coming when we'll talk as fluently with our phones, appliances, cars, etc. as we do with any human. Vlahos explains the enormous AI challenges that voice computing presents, and unpacks its vast economic, cultural, and psychological impact. He reveals how Google, Facebook, Microsoft, and other titans are competing fiercely to create the new voice-driven interfaces. Amazon has devoted an entire secret building to their efforts, and other companies are making similarly huge plays. Vlahos doesn't shy away from the troubling questions that voice computing raises. Will people become emotionally dependent on lifelike computers? Will we confide in them in ways that further erode our privacy? Will they deepen our addiction to all things digital? We are on the verge of a transformation as big as the iPhone. Talk to Me will help us get ready.
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    • Publisher's Weekly

      February 18, 2019
      Journalist Vlahos explores the increasingly ubiquitous presence of voice computing in his thought-provoking debut. He convincingly argues that the “latest technological disruption is happening, and it promises to be one of the most sizable and momentous that the world has ever seen.” Vlahos orients the reader with a discussion of the recent developments in voice computing, culminating in Apple’s creation of the Siri tool now integrated into every iPhone, before moving onto Amazon, Google, and Microsoft’s competitive efforts. Vlahos also briefly covers earlier voiced technology, such as Thomas Edison’s talking dolls of the 1870s and Eliza, a psychotherapist chatbot created in the 1960s. Evincing a talent for making the technical both easily understandable and intriguing, he explains how developers today are trying to further improve the user experience through machine learning, the process of “feeding vast amounts of data into computers so they can teach themselves how the world works.” Finally, Vlahos examines recent applications, including Mattel’s work encoding conversational abilities into its Hello Barbie doll, and potential privacy drawbacks. Readers will finish this timely book with a newfound appreciation for, and perhaps some apprehension toward, their favorite voice bot and the technological marvel it represents.

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  • OverDrive Listen audiobook

Languages

  • English

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