The latest model o3 released by OpenAI has achieved remarkable results in the ARC-AGI benchmark test, scoring an impressive 75.7% under standard computing conditions, and even reaching 87.5% under high-computation versions. This achievement has surprised the AI research community, but it still does not prove that artificial general intelligence (AGI) has been solved. The ARC-AGI benchmark test is based on the Abstract Reasoning Corpus and aims to evaluate AI systems' adaptability to new tasks.

After 12 days of technical sharing livestream events, OpenAI released its next-generation inference model o3 on the final day. This is an upgrade following the earlier release of the o1 inference model. The o3 model series includes o3 and o3-mini, with o3-mini being a smaller, streamlined version fine-tuned for specific tasks. OpenAI stated that the o3 model could approach the realization of artificial general intelligence (AGI) under certain conditions, meaning artificial intelligence capable of performing any task that a human can accomplish.

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.