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¿Puntuación de OpenAI GPT en FrontierMath Benchmark antes del 30 de junio?

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¿Puntuación de OpenAI GPT en FrontierMath Benchmark antes del 30 de junio?

NEW
Feb 28, 2026
Polymarket

$0.00 Vol.

Polymarket

60%+

$0 Vol.

54%

70%+

$0 Vol.

15%

This market will resolve to "Yes" if any OpenAI GPT model achieves the listed score or greater on the FrontierMath Exam by June 30, 2026, 11:59 PM ET. Otherwise, the market will resolve to "No". This market will resolve according to the Epoch AI’s Frontier Math benchmarking leaderboard (https://epoch.ai/frontiermath) for Tier 1-3. Studies which are not included in the leaderboard (e.g. https://x.com/EpochAIResearch/status/1945905796904005720) will not be considered. The primary resolution source will be information from EpochAI; however, a consensus of credible reporting may also be used.OpenAI's latest reasoning models, o1-preview and o1-mini, have demonstrated marked improvements in mathematical reasoning but score only around 2% on the FrontierMath benchmark—a rigorous test of 199 advanced problems curated by Epoch AI to probe frontier AI limits beyond International Math Olympiad level. Released in September 2024, these large language models (LLMs) prioritize chain-of-thought reasoning, yet fall short against competitors like Anthropic's Claude 3.5 Sonnet (under 3%) and Google's Gemini variants, reflecting persistent challenges in symbolic math and novel proofs despite scaling compute. Trader sentiment hinges on OpenAI's teased "Orion" successor to GPT-4o, potentially launching early 2025 with 10x training scale, amid competitive races from xAI and DeepMind; key catalysts include January developer previews or benchmark updates, with resolution tied to public leaderboard scores exceeding market thresholds by June 30, 2025.

OpenAI's latest reasoning models, o1-preview and o1-mini, have demonstrated marked improvements in mathematical reasoning but score only around 2% on the FrontierMath benchmark—a rigorous test of 199 advanced problems curated by Epoch AI to probe frontier AI limits beyond International Math Olympiad level. Released in September 2024, these large language models (LLMs) prioritize chain-of-thought reasoning, yet fall short against competitors like Anthropic's Claude 3.5 Sonnet (under 3%) and Google's Gemini variants, reflecting persistent challenges in symbolic math and novel proofs despite scaling compute. Trader sentiment hinges on OpenAI's teased "Orion" successor to GPT-4o, potentially launching early 2025 with 10x training scale, amid competitive races from xAI and DeepMind; key catalysts include January developer previews or benchmark updates, with resolution tied to public leaderboard scores exceeding market thresholds by June 30, 2025.

Resumen experimental generado por IA con datos de Polymarket · Actualizado
This market will resolve to "Yes" if any OpenAI GPT model achieves the listed score or greater on the FrontierMath Exam by June 30, 2026, 11:59 PM ET. Otherwise, the market will resolve to "No". This market will resolve according to the Epoch AI’s Frontier Math benchmarking leaderboard (https://epoch.ai/frontiermath) for Tier 1-3. Studies which are not included in the leaderboard (e.g. https://x.com/EpochAIResearch/status/1945905796904005720) will not be considered. The primary resolution source will be information from EpochAI; however, a consensus of credible reporting may also be used.OpenAI's latest reasoning models, o1-preview and o1-mini, have demonstrated marked improvements in mathematical reasoning but score only around 2% on the FrontierMath benchmark—a rigorous test of 199 advanced problems curated by Epoch AI to probe frontier AI limits beyond International Math Olympiad level. Released in September 2024, these large language models (LLMs) prioritize chain-of-thought reasoning, yet fall short against competitors like Anthropic's Claude 3.5 Sonnet (under 3%) and Google's Gemini variants, reflecting persistent challenges in symbolic math and novel proofs despite scaling compute. Trader sentiment hinges on OpenAI's teased "Orion" successor to GPT-4o, potentially launching early 2025 with 10x training scale, amid competitive races from xAI and DeepMind; key catalysts include January developer previews or benchmark updates, with resolution tied to public leaderboard scores exceeding market thresholds by June 30, 2025.

OpenAI's latest reasoning models, o1-preview and o1-mini, have demonstrated marked improvements in mathematical reasoning but score only around 2% on the FrontierMath benchmark—a rigorous test of 199 advanced problems curated by Epoch AI to probe frontier AI limits beyond International Math Olympiad level. Released in September 2024, these large language models (LLMs) prioritize chain-of-thought reasoning, yet fall short against competitors like Anthropic's Claude 3.5 Sonnet (under 3%) and Google's Gemini variants, reflecting persistent challenges in symbolic math and novel proofs despite scaling compute. Trader sentiment hinges on OpenAI's teased "Orion" successor to GPT-4o, potentially launching early 2025 with 10x training scale, amid competitive races from xAI and DeepMind; key catalysts include January developer previews or benchmark updates, with resolution tied to public leaderboard scores exceeding market thresholds by June 30, 2025.

Resumen experimental generado por IA con datos de Polymarket · Actualizado

Cuidado con los enlaces externos.

Preguntas frecuentes

"¿Puntuación de OpenAI GPT en FrontierMath Benchmark antes del 30 de junio?" es un mercado de predicción en Polymarket con 4 resultados posibles donde los operadores compran y venden acciones según lo que creen que sucederá. El resultado líder actual es "45%+" con 100%, seguido de "50%+" con 100%. Los precios reflejan probabilidades en tiempo real de la comunidad. Por ejemplo, una acción cotizada a 100¢ implica que el mercado colectivamente asigna una probabilidad de 100% a ese resultado. Estas probabilidades cambian continuamente a medida que los operadores reaccionan a nuevos desarrollos. Las acciones del resultado correcto son canjeables por $1 cada una tras la resolución del mercado.

"¿Puntuación de OpenAI GPT en FrontierMath Benchmark antes del 30 de junio?" es un mercado recién creado en Polymarket, lanzado el Jan 29, 2026. Como mercado nuevo, esta es tu oportunidad de ser uno de los primeros operadores en establecer las probabilidades y las señales de precio iniciales del mercado. También puedes guardar esta página en marcadores para seguir el volumen y la actividad de trading a medida que el mercado gana tracción.

Para operar en "¿Puntuación de OpenAI GPT en FrontierMath Benchmark antes del 30 de junio?", explora los 4 resultados disponibles en esta página. Cada resultado muestra un precio actual que representa la probabilidad implícita del mercado. Para tomar una posición, selecciona el resultado que consideres más probable, elige "Sí" para operar a favor o "No" para operar en contra, introduce tu cantidad y haz clic en "Operar". Si tu resultado elegido es correcto cuando el mercado se resuelve, tus acciones de "Sí" pagan $1 cada una. Si es incorrecto, pagan $0. También puedes vender tus acciones en cualquier momento antes de la resolución.

El favorito actual para "¿Puntuación de OpenAI GPT en FrontierMath Benchmark antes del 30 de junio?" es "45%+" con 100%, lo que significa que el mercado asigna una probabilidad de 100% a ese resultado. El siguiente resultado más cercano es "50%+" con 100%. Estas probabilidades se actualizan en tiempo real a medida que los operadores compran y venden acciones. Vuelve con frecuencia o guarda esta página en marcadores.

Las reglas de resolución para "¿Puntuación de OpenAI GPT en FrontierMath Benchmark antes del 30 de junio?" definen exactamente qué debe ocurrir para que cada resultado sea declarado ganador, incluyendo las fuentes de datos oficiales utilizadas para determinar el resultado. Puedes revisar los criterios de resolución completos en la sección "Reglas" en esta página sobre los comentarios. Recomendamos leer las reglas cuidadosamente antes de operar, ya que especifican las condiciones exactas, casos especiales y fuentes.