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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, a speech synthesis model called Qwen-TTS has made new progress, with its latest version update completed through the Qwen API, bringing users a richer speech synthesis experience. In this update, Qwen-TTS added support for three Chinese dialects: Beijing dialect, Shanghai dialect, and Sichuan dialect, further expanding its application scenarios. The model is trained on a large-scale corpus of more than 3 million hours, achieving naturalness and expressiveness at a human level. Qwen-TTS can not only accurately

Recently, ERGO Innovation Lab and ECODYNAMICS conducted a study focusing on how insurance-related content is displayed in AI-driven search. The research analyzed over 33,000 AI search results and 600 websites, exploring the preferences of large language models (LLMs) such as ChatGPT when processing this content. The study found that LLMs tend to prioritize content that is easy to read, well-structured, and trustworthy, which closely aligns with traditional SEO strategies.

New Oriental officially launched its first consumer-facing original AI education product - New Oriental AI 1-on-1 today. This is not only a major breakthrough in teaching methods, but also marks a critical step in New Oriental's strategic layout of "Education + AI." The core competitiveness of New Oriental AI 1-on-1 lies in providing learners with a high-frequency interactive 1-on-1 learning experience. The AI teacher can realistically reproduce the learning environment, achieving real interaction and real Q&A. At the same time, the AI teacher is patient, responsible, proficient in teaching, and can provide timely feedback, as well as praise and encourage students.

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.

A comprehensive review of MyBodyType.net's AI Body Type Calculator, comparing seven body type classification systems and differences between free and paid versions, revealing the accuracy and practical value of AI-based body analysis to help users decide if this body assessment service is worth investing in.

Earth System Models are crucial tools for predicting environmental changes, helping us better prepare for the future. However, these models have extremely high computational demands, limiting their operation at fine enough resolutions. Currently, most models operate at a resolution of approximately 100 kilometers, equivalent to the size of Hawaii, making accurate predictions for specific regions difficult. Nevertheless, for practical applications such as agriculture, water resource planning, and disaster response, city-scale prediction accuracy around 10 kilometers is vital. Therefore, improving the resolution of these models is essential for better protection.

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.

Global renowned open-source AI platform Hugging Face recently released the open-weight model contributor ranking. Chinese teams Qwen and DeepSeek successfully ranked in the top 15, showcasing China's technical strength and influence in the global open-source AI field. This ranking honors the teams that provide high-quality model weights to the open-source community, with their models widely applied in academic and industrial innovation. The Qwen team supported by Alibaba Cloud Intelligence Group has gained favor from the community due to the excellent performance of its Qwen3 series models in tasks such as instruction following and code generation.

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...