Kai-Fu Lee (@kaifulee) is a venture capitalist, technology executive, and author of AI Superpowers: China, Silicon Valley, and the New World Order.
What We Discuss with Kai-Fu Lee:
- Why the advent of AI is as important as the Industrial Revolution.
- The AI Superpowers that are competing to shape the nature of our future.
- How soon we can expect artificial intelligence (AI) to drastically disrupt the jobs we take for granted today.
- What can humans do to prepare for a future where their livelihoods might be taken over completely by AI?
- Should we fear what we’re losing in such a future, or embrace the opportunities we’re gaining?
- And much more…
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There’s a lot of discussion about artificial intelligence (AI) these days — speculation over whether it’ll take our jobs and leave us all unemployed or murder all humans in some particularly brutal fashion when it gains self-awareness, Skynet-style, as witnessed in the Terminator films. Neither seems like an ideal outcome, so why are we pursuing this technology? How do we tell the difference between what’s feasible and what’s fiction?
In this episode, we’ll talk to AI expert and former Google China president Kai-Fu Lee, author of AI Superpowers: China, Silicon Valley, and the New World Order about the current state of AI in China and what this means for the future of humanity. Should we be prepared to resist this future, or should we be rolling out the red carpet for our new robot overlords? Listen, learn, and enjoy!
Please Scroll down for Full Show Notes and Featured Resources!
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More About This Show
In the world of science fiction, artificial intelligence (AI) is usually employed as a plot device that ushers in the dystopian downfall of humanity. But what are the real chances that chasing the benefits of AI will result in such a bleak and hopeless future?
Kai-Fu Lee, author of AI Superpowers: China, Silicon Valley, and the New World Order, says: “I think the real important answer to the question is: No one can possibly know, because there are still probably 10 to 20 breakthroughs needed to get there. And no one can predict the speed of breakthroughs.
“But if history’s any guidance, over the last 62 years, we’ve had one breakthrough — and that was nine years ago. And no more since then. So if you want to be super optimistic and say we can have 10 breakthroughs in 20 years, I would say that’s optimistic but unlikely. If you want to say in 100 years, I think it’s possible — but who knows? So we can’t answer.
“And anyone who tells you and gives you a timeline is simply trying to sell a book or being too optimistic or just doesn’t understand AI.”
Listen to this episode in its entirety to learn more about why AI beating a human in the ancient game of Go has been such a shocking wakeup call to people who make it their business to predict AI’s likely development, why this was a much bigger deal than IBM’s Deep Blue beating Gary Kasparov in chess in the ‘90s, the advantages of deep learning, why the era of AI is as significant to human history as the Industrial Revolution, the jobs AI will take with one hand and give with another, and much more!
THANKS, KAI-FU LEE!
If you enjoyed this session with Kai-Fu Lee, let him know by clicking on the link below and sending him a quick shout out at Twitter:
And if you want us to answer your questions on one of our upcoming weekly Feedback Friday episodes, drop us a line at firstname.lastname@example.org.
Resources from This Episode:
- AI Superpowers: China, Silicon Valley, and the New World Order by Kai-Fu Lee
- Sinovation Ventures
- Kai-Fu Lee at Twitter
- AlphaGo Zero: Learning from Scratch by Demis Hassabis and David Silver, DeepMind
- 20 Years after Deep Blue, a New Era in Human-Machine Collaboration, IBM
- Deep Learning, IBM Watson Studio