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OpenAI today announced the release of its latest high-performance inference model, O1-Pro. OpenAI states that the model offers significant improvements in performance and capabilities and is currently available to a select group of developers. O1-Pro is designed for developers building applications with 1-5 layers, supporting features like visual input, function calling, and structured outputs. It seamlessly integrates with OpenAI's response and batch processing APIs. However, this enhanced performance comes at a cost...

OpenAI has announced the launch of o1-pro, a new inference AI model within its developer API. OpenAI states that o1-pro leverages significantly more compute resources than its existing o1 model, aiming for consistently superior responses. However, this high-performance model is currently only available to a select group of developers – specifically, those who have spent at least $5 on OpenAI API services. Notably, o1-pro is significantly more expensive, costing ten times as much as the o1 model.

Xiaomi founder, chairman, and CEO Lei Jun announced on Weibo that Xiaomi's first AI-powered professional laptop, the Redmi Book Pro 16 2025, will be launched on February 27th at 7 PM CST, with immediate sales. According to the official poster, the Redmi Book Pro 16 2025 will be among the first to feature Intel's 2nd generation Core "Ultra" processors, boasting leading computing power up to 96 TOPS and a 150%+ increase in platform AI computing power, along with high-speed LPDDR5X-8400MT memory.

Dark Side of the Moon researcher Flood Sung recently published a lengthy article, revealing for the first time the development ideas behind the k1.5 model and deeply reflecting on the technological insights brought by the OpenAI o1 model. According to Flood Sung, the importance of Long-CoT (Long Chain of Thought) was actually validated over a year ago by Tim Zhou Xinyu, co-founder of the Dark Side of the Moon. By training small models for multi-digit calculations and transforming the fine-grained calculation processes into Long Chain of Thought data for SFT (Supervised Fine-Tuning).

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.