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.

On the occasion of the annual completion at Beijing Zhihua Huazhang Technology Co., Ltd., the company released the first generation version of its inference model based on extended reinforcement learning technology — GLM-Zero-Preview. This model focuses on enhancing AI's reasoning capabilities, particularly excelling in mathematical logic, code writing, and handling complex problems that require deep reasoning. Compared to the base model, GLM-Zero-Preview shows significant improvements in specialized task capabilities while maintaining general task abilities.

OpenAI announced its next-generation inference series models - o3 and its lite version o3-mini during a 12-day launch event. These models are viewed as successors to the o1 series, specifically designed to conduct deeper thinking before answering questions to improve accuracy. The o3 model achieved outstanding performance on the ARC-AGI benchmark test, becoming the first AI model to surpass this benchmark, demonstrating question-solving capabilities close to human levels. The o3 series models have a minimum performance of 75.7% on the ARC-AGI benchmark.