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An AI system from OpenAI has earned a gold medal-level score at the International Olympiad in Informatics (IOI) 2025, one of the world's most prestigious programming competitions for high school students.

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According to OpenAI's Sheryl Hsu, the system outperformed all other AI entrants and ranked sixth overall, finishing ahead of all but five of the 330 human participants. The AI competed in the online track, following the same five-hour time limit and 50-submission cap as human contestants.

Unlike previous years, the OpenAI team did not train a custom model specifically for the IOI. Instead, they used an ensemble of general-purpose logic models. OpenAI researcher Noam Brown highlighted that the top-performing core model was the same one that recently earned a gold medal at the International Mathematical Olympiad (IMO). After extensive evaluations, the team found this model excelled not just in competitive math, but also in other areas like programming, and deployed it to the IOI without modification.

This result marks a significant leap forward in just one year. In 2024, OpenAI's system narrowly missed a bronze medal, landing in the 49th percentile. At that time, the team relied on a much more handcrafted testing strategy, including a heavily fine-tuned model supported by a complex scaffold with synthetic test cases and manual features. This year, the approach was far simpler: a lightweight scaffold only selected the best solutions from the general models' outputs using another model and a basic heuristic. The streamlined process propelled the AI to the 98th percentile. Brown suggested that by next year, the model itself could outperform any scaffold the team might devise.

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Summary
  • An AI developed by OpenAI achieved a gold medal-level score at the International Olympiad in Informatics 2025, ranking sixth overall and outperforming all other AI entrants as well as most of the 330 human participants.
  • This year, OpenAI used an ensemble of general-purpose logic models instead of building a custom system for the contest, deploying the same core model that previously excelled at the International Mathematical Olympiad.
  • The team replaced last year's complex and heavily fine-tuned approach with a simpler setup, using a lightweight scaffold to select the best answers, which helped the AI jump from the 49th percentile in 2024 to the 98th percentile in 2025.
Max is the managing editor of THE DECODER, bringing his background in philosophy to explore questions of consciousness and whether machines truly think or just pretend to.
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