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Cognitive traps in LLM memory can lead to over 10% performance degradation, challenging the assumption that more memory always improves reasoning.
Mechanist uncovers a surprising safety risk where unsafe traits can transfer across modalities, challenging assumptions about training data safety.
MobileMem shifts the paradigm from static information retrieval to dynamic experiential learning, enabling AI agents to evolve alongside their users.
