Скачать с ютуб Artificial Intelligence: "We F*ckd Up & Lost Control" - Former Google Employee Speaks - Mo Gawdat в хорошем качестве

Artificial Intelligence: "We F*ckd Up & Lost Control" - Former Google Employee Speaks - Mo Gawdat

Brian Rose: London Real 🍿Watch Full Episode: https://londonreal.tv/mo-gawdat-artif... 💰LEARN MORE ABOUT EARLY STAGE INVESTING HERE: https://lr.academy/investment-club/ Entrepreneur & Writer Artificial Intelligence technology is growing at an exponential rate. Rudimentary forms of AI have played a significant part in our lives for some time, but what happens over the next decade or less will fundamentally change the very fabric of society and the future of humanity. There are currently many philosophers, engineers, intellectual thinkers and no doubt spiritual leaders aside from the governments of the world, who are currently wrestling with the rapid growth of AI and the overarching dilemma of how to ensure we build a superintelligence that is compassionate and human friendly while working for the greater good. As today’s guest puts it, these machines will represent the first players to create “a rupture in the fabric of human history.” The big question is, what are the implications of this when the potential scenarios that could evolve are endless? Mo Gawdat is an entrepreneur, author, podcast host, happiness expert and the former Chief Business Officer at Google X. He spent 30 years of his working life right at the epicentre of the technology industry with some of the most prominent organisations on the planet that included IBM and Microsoft before spending over a decade at Google’s “moonshot factory” of innovation. Mo points out that our long-lived superiority is about to change course, and we will no longer be the dominant intelligence on the planet. The really crazy part is this transition is already in the works and has gone past the point of no return. In fact, right now a number of leading figures in technology and academia are calling for an immediate pause in the development of the leading AI systems until the risks are properly understood.