Pronóstico comunitario actual
Sí 66%
Pronosticadores
16
Tipo de pregunta
binary
Metodología
Play-money forecasting platform
Tipo de fuente
Pronóstico
Datos de mercado
Actualizado hace 12 horas
Desactualizado24 oct 23, 14:30 UTC31 dic 28, 14:59 UTC
Tendencias
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Manifold MarketsReglas
This market is focused on more technical definition of LLMs than the market below.
- The engine must use end-to-end neural networks including LLMs.
- Explicit monte-carlo tree search or equivalent methods, which is standard in current chess algorithms, can not be used.
- This market resolves to YES if the NN score above 2,700 in classic elo rating.
- (Same as original market)
- https://manifold.markets/MP/will-a-large-language-models-beat-a?r=eWs
Mercados abiertos
Sports
POLYMARKETCincinnati Reds vs. Atlanta Braves
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- Cincinnati Reds vs. Atlanta Braves: 1st 5 Innings — Over 3.5 total runs-6.5pt65%
- Cincinnati Reds vs. Atlanta Braves: 1st 5 Innings — Over 4.5 total runs+0.5pt61%
+26 resultados más
- Volumen total
- 3,9 M €
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KALSHI2027 Pro Football Champion
- Los Angeles R-1.0pt10.6%
- Buffalo-1.0pt10.6%
- San Francisco8%
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KALSHIMilwaukee vs Philadelphia
- Philadelphia+27.0pt83.2%
- Milwaukee-26.0pt16.8%
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- Volumen 24h
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KALSHIFedEx Open de France Winner
- Tommy Fleetwood+2.5pt8.8%
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KALSHICleveland vs Boston
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- Boston-17.0pt37.3%
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Preguntas frecuentes
- ¿Cuáles son las probabilidades actuales de Will end-to-end neural networks such as LLMs can beat the best human player in chess by 2028??
- Manifold Markets cotiza Yes al 66% a fecha de 22 de septiembre de 2026.
- ¿Cuándo se resuelve Will end-to-end neural networks such as LLMs can beat the best human player in chess by 2028??
- Está previsto que Will end-to-end neural networks such as LLMs can beat the best human player in chess by 2028? se resuelva el 31 de diciembre de 2028.
- ¿Cómo se liquida Will end-to-end neural networks such as LLMs can beat the best human player in chess by 2028??
- Manifold Markets liquida este mercado del siguiente modo: This market is focused on more technical definition of LLMs than the market below.