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Whatever happened to implementing term limits in Congress?
In a recent episode of the @ThisWeeknAI, our CEO @NaveenGRao joined @jason for a roundtable discussion with @chaselochmiller (@CrusoeAI) and @ml_angelopoulos (@arena). Naveen discusses the long-term limits of scaling AI on today’s computing architectures and why new approaches to hardware and computation will be needed as the field continues to grow. The discussion also touches on infrastructure constraints, evaluation challenges, and how engineers can stand out as the industry matures. These are the kinds of questions we are exploring every day at Unconventional AI. Watch the full conversation below.
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Nvidia CEO Jensen Huang has shared strong views on US rules that limit chip sales to China. In a recent interview, he said Nvidia now has zero share of the high-end AI chip market there. “In China, we have now dropped to zero,” he said. Huang added that the policy has largely backfired. “Conceding an entire market the size of China probably does not make a lot of strategic sense, so I think that has already largely backfired. Maybe it made sense at the time, but I think the policy really needs to be dynamic and needs to stay with the times.” His words show that China is now spending a lot on its own chips, this has helped local companies grow faster and rely less on American tech. The US rules were made to protect national security, but Huang says they create problems between short-term limits and long-term AI competition.
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