UCLA and Northeastern study finds 18% of AI agent output tokens are removable waste
Overview
A UCLA and Northeastern University paper estimates that about 18% of output tokens from AI agents across 6 frontier models and 4 benchmarks are removable waste.
The authors used an LLM judge to mark waste spans, then reran the agents with those spans deleted. Rohan Paul, who reported on the paper on X, says pruning cut 41% of the waste from Kimi-K3's reasoning on SWE-bench Verified, with success at 89.5% against 89.0% without pruning.
Written by AI from the articles below · updated Nov 9, 9:24 PM ET
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Rohan Paul@rohanpaul_aiXUCLA and Northeastern study finds 18% of AI agent output tokens are removable wasteAIA UCLA and Northeastern University paper estimates that about 18% of AI agent output tokens across 6 frontier models and 4 benchmarks were removable waste. Using an LLM judge to mark spans and rerunning agents after deletion, the authors report pruning cut 41% of waste from Kimi-K3's reasoning on SWE-bench Verified with success at 89.5% versus 89.0%.

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