Manifold MarketsSin KYCDatos de resolución verificadosCalibración aceptablePronóstico comunitario actualSí 75.8%
Pronosticadores
27
Tipo de pregunta
binary
Metodología
Play-money forecasting platform
Tipo de fuente
Pronóstico
Datos de mercado
Actualizado hace 10 horas
Desactualizado23 ago 25, 17:31 UTC31 dic 27, 23:59 UTC
Tendencias
Mercados Relacionados
Preguntas relacionadas para dar contexto, no una comparación de contratos equivalentes.
Will there be any major breakthrough in LLM continual learning before 2030?
Manifold MarketsWill there by a major breakthrough in LLM continual learning before 2027?
Manifold MarketsWill there be any major breakthrough in LLM continual learning before 2029?
Manifold MarketsWill ASI be achieved less than a year after continual learning?
Manifold MarketsWill there be a major hurricane landfall within 50 miles of Harris, Texas in 2026?
ForecastExWill there be a major hurricane landfall within 50 miles of Texas in 2026?
ForecastExReglas
The breakthrough needs to make LLMs better at learning from context at test time.
- Some examples of results that could demonstrate this breakthrough would be a model that shows less degradation than contemporaries on long-context or one that can more effectively learn from mistakes during agentic tasks.
- The breakthrough needs to be major and conceptual, it can't be something as simple as models getting better at in-context learning through more scaling.
- In order to count this breakthrough must apply to general LLMs, not just using continual learning to solve a narrow problem or class of problems
- A paper claiming to have a really good result isn't enough (like the Titans paper).
- The breakthrough must be widely accepted as legitimate and there should be publicly accessible models that use it
