Intel CEO Lip-Bu Tan says China's frontier AI models are being adopted very rapidly
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AT A GLANCE
Intel CEO Lip-Bu Tan says China's frontier AI models cost less and are being adopted rapidly; quantum computing may become 3 to 5 years mainstream.
Article
【Intel CEO Lip-Bu Tan: China's frontier AI models are being adopted very rapidly】
Intel CEO Lip-Bu Tan October 12 said in Singapore that China's frontier artificial intelligence models have lower token costs and are being adopted “very rapidly.” At a roundtable organized by DBS Bank, he said that Chinese models including DeepSeek, Kimi,GLM perform “well enough.” Tan said: “I strongly believe in open source; it is the best way to drive efficiency.” He added that the market will determine which models are best suited to different use cases. He also said that quantum computing may become mainstream within the next 3 to 5 years, and that software will play a role in driving the efficient use of some of the required infrastructure.
Key points
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Intel CEO Lip-Bu Tan said on October 12 in Singapore that China's frontier artificial intelligence models have lower token costs and are being adopted “very rapidly.”
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Tan said that Chinese models including DeepSeek, Kimi,GLM perform “well enough.”
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Tan said that he strongly believes open source is the best way to drive efficiency.
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Tan said that the market will determine which models are best suited to different use cases.
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Tan said that quantum computing may become mainstream within the next 3 to 5 years.
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Tan said that software will play a role in driving the efficient use of some of the required infrastructure.
AI-assisted interpretation
The following is analysis, separate from reported facts. Verify important claims independently.
This information relays Lip-Bu Tan's views on China's AI models, the open-source approach, and developments in quantum computing. The lower costs and rapid adoption mentioned in the article are his assessment, not independently verified data.
Why it matters to readers
If the assessment is correct, the cost, adoption speed, and open-source approach of China's AI models may become areas of market focus; quantum computing and software infrastructure are also drawing attention.
Token cost can be understood as the cost of using a model to process text and other information; open source refers to making some code or technology public so that more people can use and improve it.
Risks and unknowns
The original article relays Tan's remarks at a roundtable and does not provide the full speech transcript.
The article does not provide specific token costs, deployment volumes, or enterprise usage data for DeepSeek, Kimi,GLM.
Whether quantum computing will become mainstream within the next 3 to 5 years remains a forecast.
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token cost
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