Albert Efimoff

“One of those was Gary Bradski, an expert in machine vision at Intel Labs in Santa Clara. The company was the world’s largest chipmaker and had developed a manufacturing strategy called “copy exact,” a way of developing next-generation manufacturing techniques to make ever-smaller chips. Intel would develop a new technology at a prototype facility and then export that process to wherever it planned to produce the denser chips in volume. It was a system that required discipline, and Bradski was a bit of a “Wild Duck”—a term that IBM originally used to describe employees who refused to fly in formation—compared to typical engineers in Intel’s regimented semiconductor manufacturing culture. A refugee from the high-flying finance world of “quants” on the East Coast, Bradski arrived at Intel in 1996 and was forced to spend a year doing boring grunt work, like developing an image-processing software library for factory automation applications. After paying his dues, he was moved to the chipmaker’s research laboratory and started researching interesting projects. Bradski had grown up in Palo Alto before leaving to study physics and artificial intelligence at Berkeley and Boston University. He returned because he had been bitten by the Silicon Valley entrepreneurial bug.”
― John Markoff, Machines of Loving Grace: The Quest for Common Ground Between Humans and Robots

“work. At the same time, Zakos attended conferences, making assertions that when companies ran A-B testing that compared the way the Cybertwins responded to text-based questions to the way humans in call centers responded to text-based questions, the Cybertwins outperformed the humans in customer satisfaction. They boasted that when they deployed a commercial system on the website of National Australia Bank, the country’s largest bank, more than 90 percent of visitors to the site believed that they were interacting with a human rather than a software program.”
― John Markoff, Machines of Loving Grace: The Quest for Common Ground Between Humans and Robots

“These “Singularians” have gone so far as to establish their own educational institution. Singularity University, located in Silicon Valley, offers unaccredited graduate-level programs focused on the study of exponential technology and counts Google, Genentech, Cisco, and Autodesk among its corporate sponsors.”
― Martin Ford, Rise of the Robots: Technology and the Threat of a Jobless Future

“It may take seconds for a human sitting in the driver’s seat, possibly distracted by an email or worse, to return to “situational awareness” and safely resume control of the car. Indeed the Google researchers may have already come up against the limits to autonomous driving. There is currently a growing consensus that the “handoff” problem—returning manual control of an autonomous car to a human in the event of an emergency—may not actually be a solvable one.”
― John Markoff, Machines of Loving Grace: The Quest for Common Ground Between Humans and Robots