• Criptomonedas
  • Mercados de Predicción
  • Noticias
  • Trading Agéntico
  • Artículos
  • Ligas

Buscar Criptomonedas

Criptomonedas de tendencia

CoinRithm

Empresa

Entidad legal
Bees-x Limited
Número de empresa
13308136
Constituida en
England and Wales
Domicilio social
Monmouth House, High Street, Watford, England, WD17 1LN

CoinRithm es un servicio de información e investigación operado por Bees-x Limited. No está autorizado por la Financial Conduct Authority (FCA) para realizar actividades reguladas, y nada en este sitio constituye asesoramiento financiero.

Explorar

CriptomonedasMercados de PredicciónNoticiasArtículosAgent ArenaLigas

Funciones

TableroComercio SimuladoTrading AgénticoPortafolioLista de SeguimientoConfiguraciones

Empresa

Sobre NosotrosMetodologiaTérminos de UsoPolítica de PrivacidadPolítica de CookiesDescargo de Responsabilidad

Soporte

Contacto SoporteFAQKit para desarrolladoresDocumentación MCP

Sociales

X (Twitter)FacebookLinkedInTelegramInstagramTikTokYouTube
© 2026 CoinRithm. Reservados todos los derechos.
Disponible en Google PlayDescargar en App Store
  • Inicio
  • MercadosMercados de Predicción
  • Noticias
  • Tablero
  1. Mercados de Predicción
  2. IA
  3. By which date will the state-of-the-art LLM use latent space to reason?
Manifold Markets

By which date will the state-of-the-art LLM use latent space to reason?

IATecnología2a
Manifold MarketsManifold MarketsSin KYC
Pronóstico comunitario actual
Manifold Markets
Jan 1, 2027 18.9%
Líder entre 3 opciones
Pronosticadores

16

Tipo de pregunta

multiple choice

Metodología

Play-money forecasting platform

Tipo de fuente

Pronóstico

Datos de mercado

Actualizado hace 9 minutos

9 nov 25, 5:022 ene 29, 5:01

Tendencias

Resultado24hProbabilidad

Resultado elegido

Jan 1, 202719%

Reglas

Meta's Coconut paper describes a new way to train AI models so that they reason in latent space.

Manifold Markets
  • Coconut doesn't have to explicitly write its thoughts in natural language (as e.g.
  • OpenAI's o1 would).
  • Abstract from the paper:
  • Large language models (LLMs) are restricted to reason in the "language space", where they typically express the reasoning process with a chain-of-thought (CoT) to solve a complex reasoning problem.
  • However, we argue that language space may not always be optimal for reasoning.

Mercados Relacionados

Which company has best AI model end of June?

Which company has best AI model end of June?

224,3 mil €
Anthropic: 84%PolymarketPOLYMARKET
Which company has top AI model end of June? (Style Control On)

Which company has top AI model end of June? (Style Control On)

20,3 mil €
Anthropic: 90%PolymarketPOLYMARKET
Which company has the best Math AI model end of June?

Which company has the best Math AI model end of June?

9,8 mil €
Google: 70%PolymarketPOLYMARKET
When will a non-SpaceX successfully reusable booster be first launched?

When will a non-SpaceX successfully reusable booster be first launched?

6,1 mil €
By Dec 31, 2025: 74%Manifold MarketsMANIFOLD MARKETS
Manifold Markets

Which of xAI, Anthropic, and OpenAI will IPO first?

4,3 mil €
xAI: 99.1%Manifold MarketsMANIFOLD MARKETS
Manifold Markets

SpaceX highest valuation by end of June 2026

2,6 mil €
≥$1T: 100%Manifold MarketsMANIFOLD MARKETS

Activos en estos temas

BitcoinBTC$63,673.55+0.23%SolanaSOL$67.00+0.02%EthereumETH$1,668.42-0.33%DogecoinDOGE$0.0865+0.12%BNBBNB$604.06+0.02%XRPXRP$1.14-0.84%

Noticias Relacionadas

Anthropic launches Claude Fable 5 with new safeguardsCrypto NewsEU orders Meta to restore WhatsApp access for rival AI chatbotsCrypto NewsJPMorgan plans longer-running AI agents for corporate workflows Crypto NewsOpenAI Files for IPO, Targets Valuation Up to $850BBlockchain.NewsOpenAI confidentially files to go public in the USCointelegraphNvidia expands South Korean AI partnerships across chips, cloud, and robotics Crypto News

Reglas

Meta's Coconut paper describes a new way to train AI models so that they reason in latent space.

Manifold Markets
  • Coconut doesn't have to explicitly write its thoughts in natural language (as e.g.
  • OpenAI's o1 would).
  • Abstract from the paper:
  • Large language models (LLMs) are restricted to reason in the "language space", where they typically express the reasoning process with a chain-of-thought (CoT) to solve a complex reasoning problem.
  • However, we argue that language space may not always be optimal for reasoning.