OpenAI o3 is a generative pre-trained transformer model developed by OpenAI as a successor to the OpenAI o1 model. It is designed to devote additional deliberation time when addressing questions that require step-by-step logical reasoning. [1] [2]
OpenAI o3 model was announced on December 20, 2024, with the designation "o3" chosen to avoid trademark conflict with the existing UK mobile carrier named O2. The model is available in two versions: o3 and o3-mini. Until January 10, 2025, access is provided for safety and security researchers through an invitation-based testing program. [1] [3] OpenAI plans to release o3-mini to the public in January 2025. [4]
o3 demonstrates improved performance over the o1 model in complex tasks, including coding, mathematics, and science. On the ARC-AGI benchmark, which evaluates an AI's ability to handle new, challenging mathematical and logical problems, o3 attains three times the accuracy of its predecessor. [1]
As reported by New Scientist, o3 also scored a record high of 75.7% on the Abstraction and Reasoning Corpus (ARC) developed by Google software engineer François Chollet, a prestigious AI reasoning test, [5] but did not yet complete the requirements for the "Grand Prize" requiring 85% accuracy. [5] Without the computing cost requirements imposing by the test, the model also achieves a new record high of 87.5%, [5] while humans score, on average, 84%. [5]
According to TechCrunch, reinforcement learning was used to teach o3 to "think" before reacting using what OpenAI refers to as a "private chain of thought." [6] The model can allegedly plan ahead and reason through a task, carrying out a sequence of actions over a long period of time to assist in solving the problem, [6] but TechCrunch reported that this does increase the latency of responses. [6]
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