Manifold MarketsSin KYCDatos de resolución verificadosCalibración aceptableAviso de calidad de datosDatos de la fuente degradados
Datos del 26 oct 2026, 4:28 UTC · política pm-quality-4
Pronóstico comunitario actualNo 68.4%
Pronosticadores
13
Tipo de pregunta
binary
Metodología
Play-money forecasting platform
Tipo de fuente
Pronóstico
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Actualizado hace 11 horas
Desactualizado7 feb 25, 0:49 UTC1 ene 27, 4:59 UTC
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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.
