"Our systems are progressing way faster than Moore's Law," said Huang in an interview with TechCrunch on Tuesday, the morning after he delivered a keynote to a 10,000-person crowd at CES in Las Vegas.
"We can build the architecture, the chip, the system, the libraries, and the algorithms all at the same time," said Huang. "If you do that, then you can move faster than Moore's Law, because you can innovate across the entire stack."
Huang rejects the idea that AI progress is slowing. Instead he claims there are now three active AI scaling laws: pre-training, post-training, and test-time compute.
"Moore's Law was so important in the history of computing because it drove down computing costs," Huang told TechCrunch.
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