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Language models that edit their own context window like a mutable file beat external agent scaffolding across long-horizon tasks while cutting compute by up to 59%.
Tmax sets a new standard for terminal agent performance with a surprisingly simple RL recipe that outshines larger models.
Forget passively analyzing model outputs – this new attack actively *trains* the model to regurgitate specific texts, revealing its training data with surprising accuracy.
