The Next 10 Years of AI Will Change Everything | Alexander Wissner-Gross | TEDxBoston

Про це відео

How different will the world be just ten years from now? Physicist, entrepreneur, and technology researcher Alex Wissner-Gross argues that artificial intelligence is accelerating humanity toward one of the greatest transformations in history. From solving previously impossible mathematical problems and curing diseases to advancing robotics, space exploration, and scientific discovery, he believes AI will fundamentally reshape civilization far sooner than most people expect. In this wide-ranging conversation, Wissner-Gross explores superintelligence, the future of consciousness, human enhancement, extraterrestrial life, and why data—not algorithms—has been the true engine behind AI's rapid progress. He also explains why the choices we make today could determine whether the next decade becomes humanity's greatest leap forward. Dr. Alexander D. Wissner-Gross is a physicist, computer scientist, entrepreneur, and investor working at the intersection of artificial intelligence and the physical world. He is Founder and Chief Scientist of Physical Superintelligence (PSI), and has backed and advised more than 40 technology companies, both directly and through 021T and Reified. He co-hosts "Moonshots," one of the most-watched technology podcasts in the world, and writes "The Innermost Loop," a daily newsletter reaching nearly 100,000 readers. He is the author of Solve Everything and a contributing author of the New York Times Science Bestseller "This Idea Must Die" and the Amazon #1 New Release "What to Think About Machines That Think." His TED talks have been viewed over 2 million times in 27 languages. He has received 128 major distinctions, authored 24 publications, and been granted 26 patents. In 2003, he became the last person in MIT history to earn a triple major (Physics, Electrical Science and Engineering, and Mathematics), graduating first in his class from the MIT School of Engineering with a Marshall Scholarship. In 2007, he completed his Ph.D. in Physics at Harvard, where his research on neuromorphic computing, machine learning, and programmable matter received the Hertz Doctoral Thesis Prize. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx