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Large Language Models (LLMs) have achieved significant progress in complex reasoning tasks by combining task prompts with large-scale reinforcement learning (RL), as demonstrated by models like Deepseek-R1-Zero, which directly apply reinforcement learning to base models, showcasing strong reasoning capabilities. However, this success is difficult to replicate across different base model families, especially within the Llama series. This raises a core question: what factors lead to inconsistent performance of different base models during reinforcement learning? How does reinforcement learning perform in

Recently, media reports stated that Meta successfully recruited several senior researchers from OpenAI. In response, Mark Chen, OpenAI's Chief Research Officer, expressed his concerns to the team in a Slack memo. He mentioned that OpenAI's leadership did not ignore the situation but actively took measures to address it. In the memo, Mark Chen vividly described his current feelings, saying "It's like someone broke into our house and stole things." To counter Meta's large-scale efforts...

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, Baidu officially launched its 2026 AIDU Program, an elite recruitment project aimed at cultivating future AI technology leaders. This program has once again become a focal point in the tech community. Baidu hosted an AIDU Program • DeepTalk Open Day event in their campus, attracting many young people who are passionate about AI technology to participate. In this year's AIDU Program, there has been a significant expansion in job recruitment. The scale of recruitment has increased by over 60%, covering 23 core businesses and 11 research directions of Baidu. Positions include large model algorithms and large model infrastructure.

A major breakthrough in 3D modeling technology! The PartCrafter project co-developed by Peking University, ByteDance, and Carnegie Mellon University has officially been unveiled. It can generate high-precision, structured 3D models from a single RGB image, completely overturning the traditional complex process of segmentation followed by reconstruction. This technology not only improves generation efficiency but also infers the 3D geometry of unseen structures, showcasing immense potential for AI in the 3D generation field. The AIbase editorial team has compiled the latest information to provide you with an in-depth analysis of PartCrafter.

According to Science and Technology Daily, the world's first generative artificial intelligence radiology system integrated into clinical processes developed by Northwestern University School of Medicine is revolutionizing medical imaging diagnostics. This system can identify life-threatening conditions within milliseconds, providing an innovative solution to the global shortage of radiologists. The AI system has been fully deployed in 12 hospitals affiliated with Northwestern University. In five months of actual application in 2024, the system successfully analyzed nearly 24,000 radiology reports, increasing report generation efficiency by an average of 15.5%, boosting work efficiency for some doctors.

Recently, the Shanghai University of Finance and Economics held the 'Kuangshi Financial and Economic Education Large Model' Release Conference and Digital Intelligence New Financial Forum in Shanghai. This innovative intelligent education platform was officially launched. The large model aims to accurately meet the diverse needs of financial education, marking an important step for the school in deeply integrating financial education with artificial intelligence (AI). Professor Zhang Liwen from the College of Statistics and Data Science at the Shanghai University of Finance and Economics introduced that this large model fully relies on the school's rich financial discipline background and advanced technological exploration, aiming to build a service platform for various types of financial education.

In the field of artificial intelligence, the 'amnesia' phenomenon frequently encountered in long conversations significantly reduces user experience. To address this issue, the百家 AI team from Beijing University of Posts and Telecommunications has launched the first large model memory operating system -- MemoryOS. This system, through unique design, helps AI systems achieve persistent memory and personalized interaction, marking an important step forward for the development of AI agents. The inspiration for MemoryOS comes from both computer operating systems and the memory mechanisms of the human brain. It constructs...

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...

During the keynote speech at Snowflake Summit 2025, OpenAI CEO Sam Altman pointed out that more and more companies are beginning to view AI agents as entry-level employees. Altman stated that the focus of many employees' work has shifted to assigning tasks to AI agents, evaluating the quality of their results, integrating work content, and providing feedback. This working model is very similar to managing entry-level employees. Image source note: The image was generated by AI.

Recently, the San Francisco-based startup Spott announced it had raised $3.2 million in seed funding with the goal of building an AI-native recruitment platform to help recruitment agencies streamline processes and eliminate technical fragmentation. The round was led by Base10Partners, with participation from Y Combinator, Fortino, True Equity, and several angel investors. Spott has just completed the Y Combinator 2025 Winter Accelerator.