Former White House crypto and AI official David Sacks said on X that China’s AI model Kimi K3 has taken the top spot for the first time in Frontier Code Arena’s front-end coding evaluation and has reached or approached industry-leading levels in several other benchmarks. He argued that while China’s AI capabilities are advancing quickly, the US is getting caught up in internal fights over regulation.
Sacks criticized efforts by some US politicians and regulators to restrict the construction of new data centers, add more state-level regulatory requirements, and create a new federal body that would require prior approval for frontier AI models. He warned that if excessive regulation slows innovation, the US could lose ground in global AI competition.
He added that AI development still needs to address safety risks, but said regulation should be precise rather than obstructive. His comments renewed debate over AI oversight, computing infrastructure, and the balance of competition between the US and China in AI.
Former White House crypto and AI official David Sacks said in a post on X that China’s AI model Kimi K3 has, for the first time, ranked No. 1 in Frontier Code Arena’s front-end coding evaluation and has reached or come close to industry-leading performance in several other benchmark tests.
Sacks said that as China’s AI capabilities rise quickly, the US is being pulled into internal conflict over regulation. He criticized some US politicians and regulators for limiting the construction of new data centers, adding state-level regulatory requirements, and pushing to create a new federal agency that would require prior approval for frontier AI models.
He warned that if excessive regulation slows the pace of innovation, the US could lose its advantage in the global AI race. “The United States won the Internet era through Permissionless Innovation, and it can win the AI era the same way; otherwise, we will watch that leadership gradually disappear,” Sacks wrote.
He also said AI development still needs to address safety risks, but regulation should be targeted rather than act as a brake on technological innovation. His comments again stirred discussion around AI regulation, computing infrastructure buildout, and the US-China competitive balance in AI.
This article was originally published by Bit.Fan. For more cryptocurrency news and market insights, visit www.bit.fan. Disclaimer:
The market information, project data, and third-party content displayed on this platform are for industry information sharing only and do not constitute any form of investment advice or return commitment.
Cryptocurrency trading carries high risks. Users should fully assess their risk tolerance and make independent decisions. All profits, losses, and legal responsibilities are borne by the users themselves.
