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LLMs can now achieve 66x storage reduction and 1.86x speedup at 128K context by internalizing memory, not just retrieving it.
Lifelong navigation agents collapse when environments change over time, exposing a critical blind spot in how embodied models cache and reuse prior spatial memories.