seen from Israel
seen from Australia

seen from United States
seen from United States
seen from China
seen from India
seen from United States
seen from Israel

seen from United States
seen from Australia
seen from United States
seen from China
seen from United States
seen from United States
seen from Yemen
seen from United States

seen from United States
seen from China

seen from United States
seen from Germany
AI Superpowers by Kai-Fu Lee – Audiobooks , MP3
AI Superpowers by Kai-Fu Lee
Review AI Superpowers About Author Kai-Fu Lee
+ Author : Kai-Fu Lee (Author), Mikael Naramore (Narrator) + Format : MP3 ( without DRM – You can listen on many Other Devices ) + You will get link download from Dropbox when Completed Purchase ! + Listening Length : 9 hours and 28 minutes + Language : English
Here are two well-known facts:
Artificial Intelligence is reshaping the world as we know it.
The United States has long been, and remains, the global leader in AI.
That first fact is correct. But in his provocative new book, Dr. Kai-Fu Lee – one of the world’s most respected experts on AI – reveals that China has suddenly caught up to the US at an astonishingly rapid pace. As the US-Sino competition begins to heat up, Lee envisions China and the US forming a powerful duopoly in AI, but one that is based on each nation’s unique and traditional cultural inclinations.
Building upon his longstanding US-Sino technology career (working at Apple, Microsoft, and Google) and his much-heralded New York Times Op-Ed from June 2017, Dr. Lee predicts that Chinese and American AI will have a stunning impact on not just traditional blue-collar industries but will also have a devastating effect on white-collar professions. Is the concept of universal basic income the solution? In Dr. Lee’s opinion, probably not.
In AI Superpowers, he outlines how millions of suddenly displaced workers must find new ways to make their lives meaningful, and how government policies will have to deal with the unprecedented inequality between the “haves” and the “have-nots.” Even worse, Lee says the transformation to AI is already happening all around us, whether we are aware of it or not.
Dr. Lee – a native of China but educated in America – argues powerfully that these unprecedented developments will happen much sooner than we think. He cautions us about the truly dramatic upheaval that AI will unleash and how we need to start thinking now on how to address these profound changes that are coming to our world.
He traces the sector’s evolution from its initial “copycat” approach, in which it sought to replicate Western technologies and business models, to its current state of cutthroat competition and innovation, which makes Silicon Valley look boring by comparison. Along the way, Lee details how China’s tech giants, such as the e-commerce platform Taobao, triumphed against competition from established foreign firms such as eBay. The core reason for Chinese technology firms’ success, according to Lee, is that they are willing to engage with the nitty-gritty of the real world. They prefer messy vertical integration, in which one firm controls everything from design to production, retail, and marketing, to Silicon Valley’s cleanly siloed digital platforms. Compare the Chinese food delivery giant Dianping—which started out as a reviews site but soon dove into delivery, providing everything from a payment platform to a scooter-riding delivery staff—with the U.S. firm Yelp, which initially offered delivery services that mostly relied on restaurants’ own infrastructure before retreating to focus on its function as a review app. This difference is partly cultural, but it also stems from necessity: intellectual property protections are weaker in China than in the United States, so to deter competitors Chinese firms have to invest huge amounts of capital in building hard-to-replicate physical infrastructure. In the United States, by contrast, Lee believes that the combination of intellectual property laws and a cultural distaste for anything that smacks of copying often allows Silicon Valley companies “to coast on the basis of one original idea or lucky break,” leading to complacency. The second trend that Lee sees tilting the playing field toward China is a shift from “the age of expertise” to “the age of data.” Although he acknowledges that the United States has more elite researchers than China does, he claims that in today’s world data is more important than top talent, “because once computing power and engineering talent reach a certain threshold, the quantity of data becomes decisive in determining the overall power and accuracy of an algorithm.” And China, as the “Saudi Arabia of data,” has much more of it than the United States. The latter claim is indisputable: China has more Internet users than the United States and Europe combined. These users rely on “super-apps” such as WeChat for everything from booking doctors’ appointments to filing taxes, and provide the apps with additional data by using them to process the huge number of mobile payments in China’s virtually cashless economy. More generally, a big problem with the common comparison between data and oil (implicit in Lee’s “Saudi Arabia of data” analogy) is that the utility of any data set is mostly limited to questions relating to that specific data set. It’s true that non-Chinese companies would be hard pressed to match their Chinese counterparts at, say, predicting which news stories Chinese consumers will be interested in. And facial recognition based on street-level surveillance footage is likely to remain a stronghold of Chinese companies, given the (highly concerning) amount of effort currently directed there. But it is far from clear that these specific advantages will help China make progress in the domains that policymakers often talk about, such as AI’s effect on the military balance of power. Perhaps because Lee’s focus is on novel commercial products and services, he is mostly silent on the question of why we should expect these narrow advantages to have the large geopolitical implications the book alludes to.
“Beyond the AI arms race” from Foreign Affairs
“Adoption of mobile payments happened at lightning speed. [...] It got to the point where beggars on the streets of Chinese cities began hanging pieces of paper around their necks with printouts of two QR codes, one for Alipay and one for WeChat.”
I’m reading a very interesting book on the development of chinese internet and China’s potential future role in the AI technology.
AI Expert, Kai-Fu Lee Publishes AI SUPERPOWERS
Dr. Kai-Fu Lee—one of the world’s most respected experts on AI and China—reveals that China has suddenly caught up to the US at an astonishingly rapid and unexpected pace. In AI Superpowers, Kai-fu Lee argues powerfully that because of these unprecedented developments in AI, dramatic changes will be happening much sooner than many of us expected. Indeed, as the US-Sino AI competition begins to heat up, Lee urges the US and China to both accept and to embrace the great responsibilities that come with significant technological power. Most experts already say that AI will have a devastating impact on blue-collar jobs. But Lee predicts that Chinese and American AI will have a strong impact on white-collar jobs as well.
Is universal basic income the solution? In Lee’s opinion, probably not. But he provides a clear description of which jobs will be affected and how soon, which jobs can be enhanced with AI, and most importantly, how we can provide solutions to some of the most profound changes in human history that are coming soon.
Learn more at AISuperpowers.com.
Q&A: Kai-Fu Lee talks about AI, jobs, and the human heart. via AutoBlogger.co
Former Head of Google China Foresees an AI Crisis–and Proposes a Solution Why China Will Overtake the U.S. in AI IEEE Spectrum: Why do you believe that China will soon match or even overtake the United States in developing and deploying AI?