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A recent paper jointly published by Tsinghua University and Shanghai Jiao Tong University challenges the widely held belief that pure reinforcement learning (RL) enhances large model reasoning capabilities. The research found that models incorporating reinforcement learning performed worse than their original counterparts in certain tasks.

Tencent officially launched an AI reading assistant called "Penguin Reading Companion" on World Book Day. This innovative product is powered by Tencent's HunYuan large model and Tencent's Yuanqi platform. Led by Tencent SSV Digital Education Lab, it aims to provide a technologically advanced and engaging reading experience for primary and secondary school students.

Yiwu Mall Group announced its official integration with Alibaba's Tongyi large language model. Leveraging Alibaba's strengths in cloud computing, big data, and e-commerce, this collaboration will empower 2.1 million small and medium-sized merchants to leverage AI for precise business operations and rapid expansion into overseas markets. This partnership marks a significant step forward in Yiwu Mall Group's digital transformation and globalization strategy, and also highlights Alibaba's crucial role in driving the digital transformation of SMEs.

Xiaopeng Motors chairman He Xiaopeng recently announced that the company's fully self-developed Turing AI chip will be mass-produced and launched in the second quarter of this year. This progress comes as the automotive industry accelerates the application of end-to-end intelligent driving technology and the scale of AI large models continues to expand. Xiaopeng Motors is building its strongest AI brain by simultaneously developing a world base model with 35 times the parameters of mainstream VLA models, and a self-developed chip with computing power equivalent to three Nvidia Orin Xs, which is about to be mass-produced.

Zhihu AI, a leading player in the Chinese large language model market, has officially begun its initial public offering (IPO) process, marking a significant milestone for the industry's 'Big Six' companies.

Yesterday, XPeng Motors held a technical sharing session on AI large language models. Li Liyun, head of autonomous driving, stated that breakthroughs in AI large language model technology are pushing autonomous driving towards practical implementation. He mentioned that current autonomous driving technology has unprecedented potential for realization, and the industry is entering a critical turning point.

At the 2025 SenseTime Technology Exchange Day in Beijing, SenseTime officially announced a comprehensive upgrade to its SenseCore 2.0 large-scale AI infrastructure. As a leader in AI infrastructure, SenseCore 2.0 aims to provide businesses with agile, flexible, and reliable full-stack AI infrastructure services, driving the efficient implementation and large-scale application of large-scale models at an optimal price-performance ratio.

A recent joint study by Google, Carnegie Mellon University, and MultiOn explores the application of synthetic data in training large language models. According to Epoch AI, a research institution focused on AI development, currently available high-quality text training data totals around 300 trillion tokens. However, with the rapid advancement of large models like ChatGPT, the demand for training data is growing exponentially, projected to exhaust existing resources by 2026. Therefore, synthetic data is becoming increasingly crucial.

During the Qingming Festival holiday, Guangxi province implemented an AI-powered traffic model on its highways to manage and alleviate traffic congestion.