Jensen Huang, chief executive of Nvidia, has warned that China already possesses enough computing power and infrastructure to train advanced artificial intelligence models comparable to Claude Mythos. Speaking in a recent podcast interview, Huang said the type of compute used to train Mythos is widely available in China, highlighting the country’s large network of data centers and chip manufacturing capacity.
He noted that China manufactures roughly 60% of the world’s mainstream chips and has a large share of global AI researchers, along with significant energy resources. Huang described China’s computing infrastructure as “enormous,” with many facilities capable of scaling up operations quickly if required.
Cybersecurity Risks Linked to Powerful AI Models
The advanced capabilities of Mythos have already raised concerns across the cybersecurity sector. Developer Anthropic restricted access to the model after it identified thousands of software vulnerabilities across major operating systems and browsers. The company reported that nearly 99% of the discovered vulnerabilities had not yet been patched, increasing fears of potential misuse.
Further evaluation by the AI Security Institute found that the model could autonomously conduct multi-stage cyberattacks and identify security flaws, tasks that typically require experienced professionals days to complete.
Calls for Cooperation Amid Rising AI Competition
Huang urged policymakers to prioritize dialogue over confrontation, emphasizing that collaboration and research exchanges could reduce risks associated with advanced AI development. Meanwhile, U.S. Treasury Secretary Scott Bessent described Mythos as a major technological breakthrough that could help maintain U.S. leadership in the global AI race, underscoring the strategic importance of secure and responsible AI innovation.
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