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  "text": "// Artifacts as Memory Beyond the Agent Boundary //\n\nAn agent doesn't always need a bigger memory buffer. Sometimes the environment itself remembers on the agent's behalf. New research formalizes this intuition mathematically for the first time.\n\nThe work introduces a formal definition of \"artifacts,\" observations that inform the past, and proves via the Artifact Reduction Theorem that these artifacts reduce the information needed to represent history. Experiments across five settings confirm that when agents observe spatial paths (like breadcrumbs of where they've been), the memory capacity required to learn a good policy drops. The effect arises unintentionally through the agent's sensory stream.\n\nThis connects directly to the trend of building external knowledge systems for agents, from Karpathy's LLM Wiki to persistent memory vaults. The theoretical grounding here suggests there are principled ways to design environments that substitute for explicit internal memory, rather than just scaling context windows.\n\nPaper: https://t.co/xtteUXFXO2\n\nLearn to build effective AI agents in our academy: https://t.co/LRnpZN7L4c",
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