Today: lessons learned from our big series unpacking the narratives that surround the development of AI in the U.S. and China, why Twilio flew too close to the sun, and Nvidia plots a way around new U.S. export controls.
As national security framing and fears of China’s AI advancements propel U.S. AI policy, some human rights watchdogs worry it will facilitate a focus on AI investments with military applications, and allow the U.S. to deflect scrutiny for its own AI practices.
World-renowned researcher and investor Kai-Fu Lee wanted to spread knowledge about AI in China with the U.S. so both countries could succeed. Now he may be forced to live by a different philosophy.
Profit goals and nationalistic rhetoric clouded the collaborative environment that helped advance U.S. AI research. Now the goodwill fostered among Chinese students eager to study in the U.S. could be faltering.
As “AI race” rhetoric reinforces fear of the U.S. losing dominance on the world stage, Microsoft could face hard decisions surrounding the robust AI ecosystem it helped build in China.
Until now, the borderless, open-source software movement that has helped bring together AI developers and tech from the U.S. and China has risen above geopolitical tensions. Could national security crackdowns tear it apart?
A prominent private-sector voice amplifying rhetoric that pits the U.S. against China in a battle for AI supremacy, Schmidt’s borrowing from a Cold War-era playbook to urge the government toward decisions the AI industry wants it to make.
