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The article critiques treating fact staleness as relevance decay in agent memory, advocating for splitting memory by type at write time and using write-time contradiction checks for facts instead of decay, citing Mem0's implementation. It warns that decay works for episodic data but not for facts, which can lead to agents confidently stating contradictory information.
This paper investigates Rank-Order N-of-M codes for sparse distributed memory, disentangling representation and learning effects to evaluate noise robustness compared to contemporary neuromorphic architectures.
A roundup of the top AI papers of the week (May 18-24) covering a survey on code-as-harness for agents, OpenAI's autonomous resolution of the unit distance conjecture, and a memory model for continual learning without forgetting.