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    Home » OpenAI’s experimental model achieved gold at the International Math Olympiad
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    OpenAI’s experimental model achieved gold at the International Math Olympiad

    FreshUsNewsBy FreshUsNewsJuly 19, 2025No Comments2 Mins Read
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    OpenAI has achieved “gold medal-level efficiency” on the Worldwide Math Olympiad, notching one other vital milestone for AI’s fast-paced progress. Alexander Wei, a analysis scientist at OpenAI engaged on LLMs and reasoning, posted on X that an experimental analysis mannequin delivered on this “longstanding grand problem in AI.”

    In accordance with Wei, an unreleased mannequin from OpenAI was capable of resolve 5 out of six issues at one of many world’s longest-standing and prestigious math competitions, incomes 35 out of 42 factors complete. The Worldwide Math Olympiad (IMO) sees nations ship as much as six college students to unravel extraordinarily troublesome algebra and pre-calculus issues. These workouts are seemingly easy however normally require some creativity to attain the best marks on every drawback. For this year’s competition, solely 67 of the 630 complete contestants acquired gold medals, or roughly 10 p.c.

    AI is usually tasked with tackling advanced datasets and repetitive actions, nevertheless it normally falls brief in relation to fixing issues that require extra creativity or advanced decision-making. Nonetheless, with the most recent IMO competitors, OpenAI says its mannequin was capable of deal with sophisticated math issues with human-like reasoning.

    “By doing so, we have obtained a mannequin that may craft intricate, watertight arguments on the stage of human mathematicians,” Wei wrote on X. Wei and Sam Altman, CEO of OpenAI, each added that the corporate does not anticipate to launch something with this stage of math functionality for a number of months. Which means the upcoming GPT-5 will probably be an enchancment from its predecessor, nevertheless it will not characteristic that very same spectacular functionality to compete within the IMO.



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