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Real-time multi-stream interaction does not require bespoke model architectures: off-the-shelf LLMs can natively interleave perception and action in dynamic environments when configured with overlapping-memory inference coroutines.
KV-cache offloading, a promising technique for long-context LLMs, can tank performance on tasks requiring heavy context extraction, but a surprisingly simple fix can restore accuracy.