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Obsolète7 févr. 25, 00:49 UTC1 janv. 27, 04:59 UTC
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Questions liées pour le contexte, et non une comparaison de contrats équivalents.
Will Al achieve 95% or higher on the Humanity's Last Exam benchmark before 2027?
Manifold MarketsWill Al achieve 95% or higher on the Humanity's Last Exam benchmark before 2028?
Manifold MarketsWill Al achieve 85% or higher on the Humanity's Last Exam benchmark before 2030?
Manifold MarketsWill Al achieve 85% or higher on the Humanity's Last Exam benchmark before 2028?
Manifold MarketsHighest OpenAI score on Humanity’s Last Exam in 2026?
PolymarketHighest score on Humanity’s Last Exam in 2026?
PolymarketRègles
Humanity's Last Exam (HLE) is a benchmark designed to evaluate Al systems' reasoning and problem-solving capabilities across a wide range of academic disciplines, including mathematics, humanities, and natural sciences.
- Developed collaboratively by the Center for Al Safety and Scale Al, HLE comprises 3,000 unambiguous and verifiable academic questions contributed by nearly 1,000 subject-matter experts from over 500 institutions across 50 countries.
- The dataset is multimodal, with approximately 10% of the questions requiring both image and text comprehension, while the remaining 90% are text-based.
- As of early 2025, state-of-the-art Al models have demonstrated limited success on the HLE benchmark.
- For instance, OpenAl's 03-mini (high) model achieved an accuracy of 13% when evaluated solely on text-based questions.
- OpenAl's Deep Research agent, which leverages the 03 model for extensive web browsing and data analysis, reached an accuracy of 26.6% on the HLE benchmark.
