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The Arc Prize Foundation, responsible for maintaining and managing the competition, last week revised its cost estimate for OpenAI's upcoming o3 inference AI model with a staggering adjustment—from an initial estimate of $3,000 per ARC-AGI task to $30,000. This price correction reveals that the operational costs of today's most complex AI models may be ten times higher than previously anticipated. While OpenAI has yet to announce an official pricing strategy for o3, or even officially release the model, the Arc Prize...

The Arc Prize foundation recently released a new test, ARC-AGI-2, designed to measure the general intelligence level of artificial intelligence (AI) models. Co-founded by renowned AI researcher François Chollet, the foundation's blog states that this new test presents a significant challenge to most leading AI models. According to the Arc Prize leaderboard, models such as OpenAI's o1-pro and DeepSeek...

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.

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.