Baidu, Tencent, and Zhiyu AI Invest in Wulian Chip


Tian Yonglong, a former researcher at OpenAI, has joined Tencent's Large Language Model Department, focusing on the development of visual language models. This move is seen as a key recruitment for Tencent to strengthen its multi-modal large model strategy, highlighting the intense competition for cutting-edge talent.
Kuaishou's K-Ling AI is about to complete a $3 billion financing round with Tencent's participation, valuing the company at $18 billion after the investment. It plans to launch an IPO in Hong Kong within 12 months, with funds primarily used for expanding computing power and talent recruitment. As a leading video generation product, it has shown strong commercial performance recently.
Sun Tianxiang joins Baidu as head of Basic Model R&D, entering the Model Committee. Baidu has split its LLM R&D into Basic and Application Model departments, with the former focused on Wenxin foundation model breakthroughs, strengthening organizational and talent layout to accelerate tech iteration.....
Baidu open-sources a 3B-parameter end-to-end OCR model called Unlimited OCR, specifically designed for long documents such as books and papers. The project exceeded 10,000 GitHub stars within 5 days and topped four trending lists. Technically, the model activates approximately 570M parameters, and it innovatively introduces the Reference Sliding Window Attention mechanism, breaking the limitation of page-by-page stitching, supporting continuous parsing of dozens of pages at once, and significantly improving the efficiency of processing long documents.
Baidu's AI chip company, Kunlun Chip, is advancing its plan to go public in Hong Kong, with a target valuation of $50 billion. As a core component of Baidu's AI hardware ecosystem, its listing not only marks a milestone in its capitalization but also injects new variables into the global AI computing power competition. Kunlun Chip has launched multiple generations of self-developed cloud AI chips, which have drawn significant attention from the industry.