Deniz 
Former Google China president Kai-Fu Lee believes Chinese artificial intelligence models are roughly six months behind those used in the United States but could shortly surpass them in terms of acceptance.
While leading language models (LLMs) employed by Chinese corporations are between six and nine months behind, the less-advanced Chinese models are around 15 months behind their US counterparts, Lee stated at the AVCJ Private Equity Forum in China, according to a Sept. 11. CNBC story. Observing that the cost of training AI models has been drastically lowered recently, Lee, the founder of startup 01.AI and venture capital company Sinovation Ventures, said AI apps in China might soon exceed their rivals in the US.
“Apps, I would predict, by early next year will proliferate in China much faster than in the US,” Lee stated, but he clarified that it’s still unknown whether small or major companies will create these apps.
He said it may take five to eight years to develop consumer-ready generative AI capabilities to the level of a “super app,” one single application that handles a broad spectrum of jobs.
Lee thought that completely new gadgets would be needed for artificial intelligence since present cellphones would not be sufficient to meet the demands of this field.
“The right tool should be always on, always listening.“ Lee’s remarks on permanently watchful artificial intelligence devices follow the July introduction of the “Friend” necklace, a wearable powered by artificial intelligence sold as a virtual companion with continual listening capability.
Like the US, prominent tech companies in China have shown a lot of interest in artificial intelligence. Principal pillar Chinese companies Alibaba and Tencent have funded smaller AI startups billions of dollars in addition to releasing various versions of their own in-house AI models and tools.
Tencent’s own LLM, “Hunyuan,” debuted in September last year as the response from the Chinese internet behemoth to OpenAI’s chatbot ChatGPT. Since then, Hunyuan has been included in the whole corporate ecosystem of the corporation, including in its departments on marketing, cloud computing, and gaming.
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