But even with that rapid catch-up by Chinese players, there’s no question that as of this writing, the most experienced self-driving technologists still call America home.
Kai-Fu Lee • AI Superpowers: China, Silicon Valley, and the New World Order
The plan has also shifted incentives for policy innovation around AI. Ambitious mayors across China are scrambling to turn their cities into showcases for new AI applications. They’re plotting driverless trucking routes, installing facial recognition systems on public transportation, and hooking traffic grids into “city brains” that optimize flows.
Kai-Fu Lee • AI Superpowers: China, Silicon Valley, and the New World Order
Such signs should be alarming to the autonomous-driving industry, which has largely banked on scaling, rather than on developing more sophisticated reasoning. If scaling doesn’t get us to safe autonomous driving, tens of billions of dollars of investment in scaling could turn out to be for naught.
Gary Marcus • Deep Learning Is Hitting a Wall
But predictions that self-driving “robotaxis” would be ubiquitous by 2020 proved overly optimistic. Autonomous vehicles (AVs), as self-driving cars are known in the industry, can do extraordinary things, such as navigating busy downtown streets and handling complex junctions with multiple traffic lights. But they seem to be stuck in perpetual testi
... See more