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Context compaction in agentic RL can run up to 5x faster simply by streaming the KV cache instead of flushing it鈥攁ccidentally turning standard LLMs into recurrent agents that preserve evicted context purely through RL.
Language models often prioritize short-term rewards over cooperative success, revealing a critical flaw in their decision-making processes.
