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OpenAI recently launched a new system designed to monitor its latest AI reasoning models, o3 and o4-mini, to block prompts related to biological and chemical threats. The system aims to prevent the models from providing suggestions that could incite harmful attacks, ensuring AI safety. OpenAI states that o3 and o4-mini exhibit significantly improved capabilities compared to previous models, thus potentially posing new risks in the hands of malicious users. According to OpenAI's internal benchmarks, o3...

OpenAI recently released its latest reasoning models, o3 and o4-mini, marking a significant breakthrough in the field of artificial intelligence. These models not only surpass previous versions in reasoning capabilities but also achieve image reasoning for the first time, integrating visual information directly into the thinking process. o3, hailed as a "genius-level" model, particularly excels in tasks such as programming and mathematics, achieving an accuracy rate of 87.5%. The newly released o3 and o4-mini models demonstrate exceptional performance in multimodal processing, possessing...

During a technical livestream at 1 AM today, OpenAI officially launched its latest and most powerful multimodal models: o4-mini and the full-power o3. These models offer unique advantages, capable of processing text, images, and audio simultaneously. They also function as agents, automatically utilizing tools such as web search, image generation, and code parsing. Furthermore, they possess a deep thinking mode, enabling reasoning about images within a chain of thought.

Today, on the second anniversary of Baichuan Intelligent's founding, the company's founder and CEO Wang Xiaochuan released an all-staff letter, reviewing the past two years' achievements and shortcomings, and clarifying the company's current and future development direction. Wang Xiaochuan emphasized that Baichuan Intelligent will firmly pursue its technological vision and business direction in the medical field, promoting the deep application of AI technology in the medical industry through the path of "creating doctors - changing paths - promoting medicine".

At the AI Boundless Innovation Global Launch Conference held in Shanghai, iFlytek announced a significant upgrade to its deep reasoning model, Starfire X1. iFlytek's senior vice president, Yu Jidong, revealed that this upgrade will further enhance Starfire X1's performance in reasoning, text generation, and language understanding, making it comparable to industry-leading models like OpenAI's o1 and DeepSeek's R1. Initially launched in January 2025, Starfire X1 distinguishes itself with its training based on entirely domestic computing power.

StepStar Technology team officially announced the launch of its new multimodal reasoning model, Step-R1-V-Mini. This release marks a significant breakthrough in multimodal collaborative reasoning, injecting new vitality into the further development of AI technology. Step-R1-V-Mini supports image and text input with text output, demonstrating strong instruction following capabilities and versatility. It can accurately perceive images and complete complex reasoning tasks.

Tencent recently announced its latest large language model, HunYuan-T1, claiming its reasoning capabilities rival OpenAI's best reasoning systems. Tencent reports that HunYuan-T1's development heavily relied on reinforcement learning, with 96.7% of post-training computing power dedicated to enhancing its logical reasoning and alignment with human preferences. In various benchmark tests, HunYuan-T1 demonstrated strong performance. On the MMLU-PRO evaluation, testing knowledge across 14 academic subjects, the model achieved a score of 87.2.

Kunlun Wanwei has open-sourced its Skywork R1V multimodal reasoning model, marking a significant advancement in Chinese AI capabilities. This powerful model represents a major leap forward in the field.

Kunlun Wanwei has officially released Skywork R1V (referred to as "R1V"), the world's first industrial-grade multimodal reasoning model. This 3.8 billion parameter model's performance is close to the well-known closed-source model DeepSeek-R1, and even surpasses it in several benchmark tests, outperforming a series of current state-of-the-art (SOTA) technologies. Kunlun Wanwei's decision to open-source R1V aims to promote technology sharing and progress, injecting new vitality into the global AI open-source community. R1V is distinguished by its superior multimodal reasoning capabilities.

Recently, MedBench, a well-known domestic medical large language model evaluation platform, released its latest rankings. Ant Group's medical team's self-developed medical large language model achieved outstanding performance, winning first place in both the evaluation and self-test rankings with high scores of 97.5 and 98.2 respectively, attracting widespread attention from the industry. The success of Ant Group's medical large language model is inseparable from the team's continuous efforts in researching and developing medical reasoning models. The team recently adopted reinforcement learning technology to create a new generation of medical reasoning models. This innovation has enabled the model to...

iFlytek has announced a significant upgrade to its deep reasoning model, StarFire X1. This upgrade focuses on enhancing its capabilities across various domains, including mathematics, healthcare, and education, delivering notable improvements and innovations. StarFire X1 exhibits a significant enhancement in mathematical capabilities, particularly in tackling competition-level problems. Compared to other industry models, StarFire X1 demonstrates competitive performance in mathematical tasks while maintaining a smaller model parameter count, rivaling models like DeepSeek R1 and comparable OpenAI models. Users can access StarFire through iFlytek's...

On February 25th, Alibaba announced the launch of QwQ-Max-Preview, a reasoning model based on Qwen2.5-Max, and plans to fully open-source its latest reasoning models, QwQ-Max and Qwen2.5-Max. The released QwQ-Max-Preview is a preview version. Alibaba stated that the official version will be released soon and fully open-sourced under the Apache2.0 license. Unlike previous releases, this open-sourcing includes not only the model itself but also smaller versions such as Q...

On February 25th, Anthropic officially released its latest reasoning model - Claude 3.7 Sonnet. This model, with its innovative design and significantly improved programming capabilities, quickly became an industry focus. The core innovation of Claude 3.7 Sonnet lies in its fusion of rapid response and in-depth reasoning capabilities, simulating human thought processes to provide users with a more seamless interactive experience.

Anthropic, an AI company, today announced the release of its latest hybrid reasoning model, Claude 3.7 Sonnet. Anthropic claims this model is its most intelligent AI yet, designed to tackle more complex problems and demonstrating superior performance in areas such as mathematics and coding.

In the AI industry, Together AI recently announced the completion of a $305 million Series B funding round, which has garnered widespread attention. The company's rise is closely related to its newly launched deep reasoning model, DeepSeek-R1. Contrary to initial concerns, many industry experts believe that advancements in deep reasoning have not diminished the demand for infrastructure; rather, they are continuously enhancing this demand. Image source note: Image generated by AI, image licensed from service provider Midjourney since its establishment in 2023.

Today, xAI, led by Elon Musk, officially launched its latest model Grok3, which Musk described as currently the 'smartest AI on Earth.' It will compete with ChatGPT, Gemini, DeepSeek, and Claude. During the launch event, xAI showcased many benchmark tests, revealing that Grok3 outperformed Gemini2Pro, Claude3.5Sonnet, GPT4o, and Dee in mathematical, scientific, and coding benchmarks.

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, the Alibaba Cloud Tongyi team officially released the new mathematical reasoning process reward model Qwen2.5-Math-PRM. This model offers two sizes, 72B and 7B, with performance significantly outperforming similar open-source process reward models, especially excelling in identifying reasoning errors. The 7B version of Qwen2.5-Math-PRM astonishingly surpasses the widely popular GPT-4o, marking an important step in Alibaba Cloud's research and development of reasoning models.

The Alibaba Qwen team recently published a paper titled 'Lessons Learned from the Development of Process Reward Models in Mathematical Reasoning' and introduced two new models in the Qwen2.5-Math-PRM series, featuring 7B and 72B parameters respectively. These models break through the limitations of the existing PRM framework in mathematical reasoning, significantly improving the accuracy and generalization ability of reasoning models through innovative techniques. Mathematical reasoning has long been a major challenge for large language models (LLMs), especially regarding errors in intermediate reasoning steps.