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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, 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.

During a continuous 12-day live event, OpenAI released the O1 model API to developers on the 9th day and announced significant upgrades to the real-time API, supporting WebRTC technology. Starting from the release date, OpenAI will provide access to the O1 API for developers at usage level 5. Compared to the previous preview version, this updated O1 model API achieves a 60% reduction in thinking costs and adds advanced visual processing capabilities. Meanwhile, GPT-4o has improved in audio processing.

Last night, OpenAI unveiled the brand new o1 model and ChatGPT Pro subscription service, painting an exciting development blueprint for AI technology. During the launch event, Sam Altman and his team took less than 15 minutes to showcase the revolutionary breakthroughs of the o1 model. Compared to the previous preview version, the new o1 achieved significant improvements across several key metrics, with a nearly 30% boost in mathematical capabilities and a 27% increase in coding skills, even surpassing humans in the GPQA Diamond benchmark test.

Recently, NVIDIA's CEO Jensen Huang revealed in an interview that OpenAI's latest o1 large language model (LLM) will be based on NVIDIA's Blackwell architecture, which has achieved an astounding improvement in inference capability. As the market gradually emerges from the hype of generative AI, developing LLM models capable of generating 'inference-focused' responses has become increasingly important, marking a significant step toward achieving general artificial intelligence.

Recently, OpenAI released the next generation of the o1 model, now available on Cursor. These o1 models excel at handling complex and intricate reasoning tasks, exciting many developers. Notably, the o1-mini model is designed specifically for advanced programming, becoming a favorite among developers. Initially, Cursor will adopt a usage-based pricing model, and as usage increases, it plans to gradually adjust the pricing structure and optimize model usage limits.

Recently, OpenAI launched its latest series of artificial intelligence models, o1, which have demonstrated very advanced capabilities in certain logical tasks. As a result, the company has conducted a cautious assessment of its potential risks. Based on both internal and external evaluations, OpenAI classified the o1 model as 'medium risk'. Why is there such a risk rating? Firstly, the o1 model exhibits human-like reasoning capabilities, able to generate text that is as persuasive as arguments written by humans on the same topic. This persuasive ability is not