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CURRENT AFFAIRS
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In a groundbreaking achievement, artificial intelligence (AI) systems developed by OpenAI and Google DeepMind have performed at the level of gold medalists in the International Mathematical Olympiad (IMO) one of the world’s most prestigious mathematics competitions for high school students. This marks the first time AI models have reached such a benchmark under official exam-like conditions.
About International Mathematical Olympiad
The IMO, held annually since 1959, tests the mathematical capabilities of top-performing school students from around the world. The competition comprises two sessions of 4.5 hours each, where participants tackle three highly complex problems in areas like algebra, combinatorics, geometry, and number theory. Each problem is worth 7 points, bringing the maximum total to 42. In 2025, a score of 35 points or higher was required for a gold medal.
AI Models Match Gold Medal Threshold
The AI systems developed by OpenAI and Google DeepMind both scored 35 points, successfully solving five out of six problems. These models differ from traditional language-based AIs by using advanced reasoning frameworks.
Google's system, named Gemini Deep Think, uses parallel processing to evaluate multiple solution paths simultaneously. OpenAI’s model also demonstrated impressive step-by-step problem-solving capabilities and was independently assessed by former IMO winners, although it has not yet received formal endorsement from the IMO organizers.
Comparing Human And AI Performances
India delivered an impressive performance at IMO 2025, earning three gold medals, two silver, and one bronze. One Indian gold medallist outperformed the AI systems by two points. According to participants, AI is highly efficient at recognising patterns and recalling solution strategies, but it lacks the creativity and intuition that human mathematicians often rely on, especially for solving novel or unconventional problems.
This Matters For Future Of AI
This development reflects a major leap in AI’s capacity for mathematical reasoning. Previously, AI systems required human help to formalise math problems or translate them into computable formats. Today, these advanced models can independently generate formal proofs and solve complex problems from natural language all within the time constraints of an IMO exam.
Experts believe this progress could have real-world implications in cryptography, physics, and space science, potentially contributing to the solution of long-standing unsolved problems.
Current Limitations And Future Role Of AI In Mathematics
Despite their high-level performance, AI systems still display uneven intelligence, occasionally faltering on simpler questions or showing inconsistency in logic. Researchers urge caution, emphasizing that human insight and creativity remain irreplaceable, especially in mathematical discovery.
Looking ahead, AI is expected to play a supportive role helping verify proofs, offering suggestions, and even serving as a training aid for students preparing for math competitions, much like AI tools now support chess players in improving their game.
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