Meta's AI scores perfectly on physics olympiad theory exam, but real-world limits remain

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Meta entered its AI models in five scientific olympiads to benchmark their reasoning abilities, announcing a perfect score on the theoretical portion of the 2026 Asian Physics Olympiad. The achievement is genuine, but analysts note that olympiad problems are fully closed exercises with complete data, known solutions, and predefined scoring — conditions that rarely exist in real workplaces. In practical settings, AI agents must interpret vague requests, navigate missing information, and decide what problem to solve before solving it, a skill olympiads cannot measure. Meta's announcement focused specifically on the theoretical exam, omitting the experimental component where physical reality introduces unpredictable variables. Similar milestones were reached by Gemini and OpenAI in mid-2025, highlighting a pattern where AI benchmark gains do not necessarily translate to gains in open-ended, autonomous task performance.

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