Manifold MarketsSenza KYCDati di risoluzione verificatiDiscretamente calibratoPrevisione della comunità attuale
2027 55%In testa tra 6 esiti
2027 55%Previsori
21
Tipo di domanda
multiple choice
Metodologia
Play-money forecasting platform
Tipo di fonte
Previsione
Variazione 7g
0.0 pts
Dati di mercato
Aggiornato 6 ore fa
Obsoleto7 feb 25, 01:03 UTC2 gen 35, 04:59 UTC
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Domande correlate per il contesto, non un confronto tra contratti equivalenti.
In what year will Al achieve 95% or higher score on the Humanity’s Last Exam benchmark?
Manifold MarketsIn what year will Al achieve 95% or higher score on the Humanity’s Last Exam benchmark?
Manifold MarketsWill Al achieve 95% or higher on the Humanity's Last Exam benchmark before 2027?
Manifold MarketsWill Al achieve 85% or higher on the Humanity's Last Exam benchmark before 2028?
Manifold MarketsHighest score on Humanity’s Last Exam in 2026?
PolymarketHighest Grok score on Humanity’s Last Exam in 2026?
PolymarketRegole
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.
