@omarsar0
RT @omarsar0: Great new paper from AWS on agent handoff tax. If you build agents today, you need to understand the so-called handoff tax.…
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"text": "Great new paper from AWS on agent handoff tax.\n\nIf you build agents today, you need to understand the so-called handoff tax.\n\n(bookmark it)\n\nEscalating to a stronger model mid-run is usually the resort when a cheap agent stalls.\n\nNew work from AWS AI Labs measures how much that switch actually costs.\n\nCoding agents run for dozens of model calls, so teams escalate when a weak model struggles and downshift once the hard reasoning is done. Every switch forces the receiving model to continue a trajectory another model wrote.\n\nAcross pairs of Claude and GPT models, full-trajectory escalation recovers less than half the quality gap between the weak and strong model while adding a substantial cost premium. The authors call that penalty the handoff tax. Downshifting lands at a much better cost-quality point.\n\nCutting the weak model's trajectory information improves escalation quality, while removing the strong model's trajectory hurts downshift quality.\n\nPaper: https://t.co/59ozKgugB8\n\nTrack more trending AI papers in our academy: https://t.co/1e8RZKs4uX",
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