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Desatualizado23/08/25, 16:14 UTC31/12/26, 23:59 UTC
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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
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Perguntas frequentes
- Quais são as probabilidades atuais de Will there by a major breakthrough in LLM continual learning before 2027??
- A Manifold Markets cota No em 84% em 8 de setembro de 2026.
- Quando Will there by a major breakthrough in LLM continual learning before 2027? é resolvido?
- Will there by a major breakthrough in LLM continual learning before 2027? deverá ser resolvido em 31 de dezembro de 2026.
- Como Will there by a major breakthrough in LLM continual learning before 2027? é liquidado?
- A Manifold Markets liquida este mercado da seguinte forma: The breakthrough needs to make LLMs better at learning from context at test time.