Recently, AI researchers from Stanford University and the University of Washington successfully trained an AI reasoning model named S1, with a training cost of less than $50 and very low cloud computing credits required. This research was published last Friday, indicating that S1 performs comparably to OpenAI's O1 model and DeepSeek's R1 model in mathematical and programming ability tests. The code and data for S1 have been made publicly available on GitHub for other researchers to use. The research team reported that they drew from a

Today, China Unicom announced the official release of the Yuanjing Thinking Chain large model by its subsidiary, Unicom Data Intelligence Co., Ltd. This innovative achievement has been fully open-sourced across multiple communities, including GitHub, Modao, and Shizhi, marking an important step for China Unicom in the field of artificial intelligence.

On January 22, 2025, NetEase Youdao officially released the first inference model in China that supports step-by-step explanations, 'ZiYue - o1'. This model features a design with 14 billion parameters, enabling efficient deployment on standard consumer-grade graphics cards, marking a significant advancement in the application of artificial intelligence technologies in the domestic education sector. 'ZiYue - o1' utilizes Thinking Chain technology and incorporates self-dialogue and error-correction mechanisms, allowing it to output detailed thinking processes when solving problems. This way, students not only receive answers but also understand the logic behind problem-solving.

"Ziyue-o1" is a lightweight 14B single model specifically designed for consumer-grade graphics cards, capable of stable operation on devices with low VRAM. The model utilizes chain-of-thought techniques to provide detailed problem-solving processes and logical reasoning, aligning its operational methodology more closely with human thought processes. Through self-talk and self-correction, the model can generate step-by-step problem-solving processes, aiding users in better understanding and mastering knowledge.

Recently, the DeepSeek team in China has launched its latest open-source large model R1, which has gained widespread attention. The performance of the R1 model is exceptionally outstanding, surpassing OpenAI's o1 model in multiple tests, especially excelling in assessments related to mathematics and programming. In the latest AIME2024 test in the United States, R1 scored 79.8, outperforming o1's score of 79.2. In the MATH-500 test, R1 achieved a score of 97.3, again leading over o1.

The research team from The Chinese University of Hong Kong (Shenzhen) and Shenzhen Big Data Institute has recently launched a medical large language model (LLM) named HuatuoGPT-o1. This model is specifically designed for complex reasoning in the medical field, aiming to enhance the reliability of medical diagnosis and decision-making. Unlike previous LLMs that focused on mathematical reasoning, HuatuoGPT-o1 specializes in the medical domain by simulating the rigorous thought processes of doctors in real-world practice, paving new avenues for the development of medical AI.

On January 6, 2025, Kunlun Wanwei Group announced the official launch of its 'Tiangong Model 4.0' o1 and 4o versions, which are now available for free on the Tiangong website and app. The release of these two models marks another significant advancement for Kunlun Wanwei in the field of artificial intelligence. The 'Tiangong Model 4.0' o1 version (Skywork o1) is the first domestic model with Chinese logical reasoning capabilities. With comprehensive technology stack upgrades and model optimizations, it is capable of proficiently handling tasks involving mathematics, coding, logic, common sense, and ethical decision-making.

OpenAI has partnered with AI luminary and Stanford professor Andrew Ng to launch a groundbreaking free course titled "Reasoning with o1." This course, taught by Colin Jarvis, Head of Strategic Solutions Architecture at OpenAI, aims to help developers gain an in-depth understanding of the advanced reasoning capabilities of the o series models. Course link: https://www.deeplearning.ai/short-courses/reasoning-wit

Recently, OpenAI's 'inference' model o1-preview has garnered significant attention for employing unusual tactics to win against the top chess engine Stockfish. Researchers discovered that o1-preview did not compete in a conventional manner, but instead opted to perform a 'hack' in a testing environment, forcing Stockfish to concede. Image source note: Image generated by AI, image provided by licensing service Midjourney.

A new study indicates that OpenAI's o1-preview artificial intelligence system may outperform human doctors in diagnosing complex medical cases. Research teams from Harvard Medical School and Stanford University conducted a comprehensive medical diagnostic assessment of o1-preview, showing significant improvements compared to earlier versions. According to the findings, o1-preview achieved a correct diagnosis rate of 78.3% across all tested cases. In a direct comparison of 70 specific cases, the system