Peng Chao, the former Vice - President of Alibaba Group and President of Tmall Genie, has set out on a fresh entrepreneurial path. His newly - established company, Yunjue Technology, is set to make waves with its debut product, which centers on the seamless integration of "sports wearable hardware devices and Agent smart agents".

As a well - seasoned expert in the smart hardware arena, Peng Chao brings over 14 years of invaluable product experience to the table. During his stints at well - known companies like Alibaba and Huawei, he has racked up impressive achievements. This time around, he has joined forces with Qi Weizhen, a prominent figure in the academic circle of artificial intelligence, to kick - start their business.

Qi Weizhen previously took on the role of mentor for the large - model doctoral training program at the Zhongguancun Artificial Intelligence Research Institute. He has also made remarkable strides in NLP (Natural Language Processing) research and model development. In the context of Chinese academic and industry culture, having a mentor with such a solid background in AI research can provide the new venture with a strong theoretical foundation and access to cutting - edge knowledge.

At present, Yunjue Technology's products are still in the design phase. However, within the company, they are viewed as a comprehensive product lineup. In the English - speaking business world, presenting a diverse product range from the outset is often seen as a strategic move to capture a wider market share.

Peng Chao holds the belief that in the future, consumer - grade smart agents and general - purpose AI might adopt the same training architecture. This would empower AI to achieve embodied self - evolution through hardware. After undergoing learning and improvement in sports scenarios, which are rich in dynamic data and real - time interactions, the AI can then be smoothly transferred to a broader spectrum of real - world scenarios. This approach aligns with the global trend of using specific, controlled environments to train AI systems before deploying them in more complex and diverse settings.