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ByteDance's Seed Team recently released the impressive results of the 2025 full subject Gaokao test: the Dou Bao Seed1.6-Thinking model scored 683 in literature and 648 in science, meeting the admission threshold for Tsinghua and Peking University, and performed outstandingly in domestic and international AI model Gaokao tests. The test used the national new volume one and Shandong Province's independent proposition papers, with Dou Bao competing against five other top domestic and international AI models such as Google Gemini 2.5 Pro, DeepSeek R1, and OpenAI o3.

Recently, Tencent Charity officially launched the "Ask AI" function, which is the first time that large artificial intelligence models have been applied in the charity sector on this platform. This innovative feature allows users to ask questions about various projects and organizations of Tencent Charity, aiming to enhance the interaction and transparency between the public and charitable organizations. The launch of the "Ask AI" function marks another breakthrough for Tencent in the field of charity. Users only need to input their questions simply, and the system can instantly provide relevant information, helping users better understand and participate in various charitable activities. This convenient communication method...

On May 21st, Tencent announced the comprehensive upgrade of its Hunchun large model matrix, marking the continuous enhancement of its technical capabilities in the field of artificial intelligence. This upgrade covers several aspects, including the upgrade of the flagship fast thinking model Hunchun TurboS, the deep thinking model Hunchun T1, and the launch of new visual deep reasoning model T1-Vision and end-to-end voice call model Hunchun Voice based on the TurboS base model. In addition, Tencent has also synchronized updates to Hunchun Image 2.0, Hunchun 3D v2.5, and a series of other models for game visual generation.

Recently, Tencent's Hunyuan T1-Vision has launched Yuanbao. The Yuanbao can deeply understand image content by its unique Hunyuan T1-Vision model and accurately capture key points behind the information. Users just need to take a photo and upload it, whether it’s an uncommon plant variety, a complex foreign language game interface, or a decision-making scenario requiring in-depth analysis.

Recently, the domestic embodied intelligent start-up "Lingyu Intelligence" announced the completion of a multimillion-dollar seed round financing. This round was led by InnoAngel Fund, with participation from Shuimu Alumni Seed Fund and Horizon Ventures. The company was co-founded by Jin Ge, an alumnus of the Department of Automation at Tsinghua University, together with his team. It is committed to creating a benchmark for embodied intelligent applications, accelerating the real-world implementation of robots in industrial and home scenarios. Lingyu Intelligence, leveraging its technical accumulation in the field of robot motion control, has built a general solution covering data collection from the human side, actuators on the machine side, to intelligent operation platforms, bridging from level L0 to L4 of intelligence.

Developed by TNG Technology Consulting, the DeepSeek R1T Chimera model has officially launched on the OpenRouter platform, providing global developers with efficient and powerful inference capabilities. This new open-source model combines the excellent inference capabilities of DeepSeek R1 with the high performance of V3-0324, marking another significant breakthrough in the balance of performance and efficiency in open-source AI technology. The following is compiled by AIbase.

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.

At the recently concluded 18th China Electronic Information Annual Conference, the China Electronics Society announced the winners of the 2024 Science and Technology Awards. Among them, the project "Key Technologies and Applications of Secure and Trusted Dynamic Behavior in the Internet with High-Efficiency Collaboration," jointly developed by Tsinghua University, Beijing Zhongguancun Laboratory, and Ant Group, won the first prize for scientific and technological progress. This achievement not only demonstrates the enormous potential of cutting-edge technology in the field of secure and trustworthy computing, but also provides an effective solution to address the increasingly complex network environment. With the proliferation of the internet, malicious traffic attacks and covert...