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Forget dialogue summaries – FileGram builds user profiles directly from atomic file-system actions, unlocking a richer, more privacy-preserving approach to agent personalization.
Today's best AI agents can only achieve 48% accuracy when reasoning about your personal files, revealing a surprising gap between lab performance and real-world usability.
Forget ad-hoc VLA design: here are 12 key ingredients, validated in a unified framework, for building performant Vision-Language-Action models.