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).

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.

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.

Recently, a new study indicated that even advanced AI language models, such as OpenAI's latest o1-preview, struggle with complex planning tasks. This study was conducted by scientists from Fudan University, Carnegie Mellon University, ByteDance, and Ohio State University, testing the performance of AI models on two planning benchmarks: BlocksWorld and TravelPlanner. In the classic planning scenario of BlocksWorld...

Recently, a Reddit user shared his experience on the forum using OpenAI's latest model, OpenAI o1, to solve high school math problems. Remarkably, he got all the answers correct. @FitAirline8359 mentioned using past math final exam questions from Chinese universities' upperclassmen and presented these problems to OpenAI's latest version, o1. To his surprise, OpenAI o1 answered all of them correctly in just 20 minutes. This result left him extremely shocked and sparked significant discussion among other users.