Nvidia Ai Future Huang Quotes

Jensen himself has called AI a “universal function approximator” that can predict the future with reasonable accuracy. This applies as much in “high-tech” fields such as computer vision, speech recognition, and recommendations systems as it does in “low-tech” tasks such as correcting grammar or analyzing financial data. He believes that eventually it will apply to “almost anything that has structure.

Now I saw where the fear was coming from. The executives were more afraid of Jensen yelling at them than they were of wiping out the human race.

But the final word went to Morris Chang. He didn’t attribute Huang’s success to his work ethic, which, at TSMC, would have been considered slightly above average—nor did he find him especially adaptable. Chang was ninety-two years old when I spoke with him, wearing a purple corded sweater and sitting in front of a striking piece of abstract art, his face serene, his hair completely white. In seventy years of corporate life across two continents he had seen every manner of executive there was to see. To him, the explanation was simple, and there was no secret: “His intellect is just superior.

For Dally, it was Huang’s tireless work ethic that made Nvidia succeed. Even Dally, who left no spare second in his day, could not quite believe the superhuman efforts of his boss. “The rest of us are just here to reduce the bandwidth demands on Jensen,” Dally said. “I mean, when does he sleep?” Diercks agreed: “His hobbies are work, email, and work.

The truth, not widely understood until later, was that the deep-learning revolution was as much a revolution in hardware as software. It was the product of not one but two unpopular, cast-off, discredited, and cash-starved technologies whose ideal form could only be revealed in synthesis. Neural nets running on parallel computers: these tightly coupled technologies were the twin strands of DNA for a new and powerful organism, looking to consume all the data in the world.

Krizhevsky himself escaped the dragnet. Rarely saying a word to anyone, he was not the ideal collaborator, and he departed Google in 2017. His share of the auction money was just under $15 million, enough not to work anymore, especially given the asceticism of his lifestyle. In 2019 he granted a Japanese news crew a visit inside his Bay Area home. Krizhevsky lived like a Benedictine monk, in a spartan apartment above a Vietnamese restaurant. The walls inside were completely bare; the only items of furniture were a desk, a couch, a digital piano, and a television; the only sign of life in the place was his house cat. Krizhevsky, the Orville Wright of the neural net, told the news crew he had walked away from the technology. “Maybe it’s just my personality,” he said, “but when I spend a very long time specializing in something, after about ten years I start to lose interest.