OpenAI's o3 system scored 85% on the ARC-AGI benchmark, matching human average performance and surpassing previous AI records. This breakthrough in artificial general intelligence (AGI) has sparked excitement and debate within the AI community.
A new artificial intelligence model has just achieved human-level results on a test designed to measure “general intelligence”.
Generalisation and intelligence To understand what the o3 result means, you need to understand what the ARC-AGI test is all about. In technical terms, it’s a test of an AI system’s “sample efficiency” in adapting to something new – how many examples of a novel situation the system needs to see to figure out how it works.
The ability to accurately solve previously unknown or novel problems from limited samples of data is known as the capacity to generalise. It is widely considered a necessary, even fundamental, element of intelligence. What do we mean by the weakest rules? The technical definition is complicated, but weaker rules are usually ones that can be described in simpler statements.
French AI researcher Francois Chollet, who designed the benchmark, believes o3 searches through different “chains of thought” describing steps to solve the task. It would then choose the “best” according to some loosely defined rule, or “heuristic”. However, if it is like AlphaGo then they simply had an AI create a heuristic. This was the process for AlphaGo. Google trained a model to rate different sequences of moves as better or worse than others.
Artificial Intelligence AGI Openai O3 ARC-AGI Benchmark General Intelligence
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