Lambert: Context compression is crucial for long-horizon AI agents
Nathan Lambert · The RLVR Revolution — with Nathan Lambert (AI2, Interconnects.ai) · Jul 31, 2025 · at 9:50
Nathan Lambert of AI2 discusses the non-verifiable behaviors required for AI coding agents like Claude Code to operate effectively over extended horizons.
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“Compressing context, like that's not I don't think that's really a verifiable thing, but that being messed up, like that's a super crucial skill for long context actions and long longer tasks is just compressing well, and that's going to take some training novelty on how do you can effectively modify your training data instead of having all the multi-turn context. You just insert the summary and you want to make the performance stay as well as it's also a cost saving to have shorter context.”
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