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@melissapan
CS PhD @UCBerkeley Sky Lab 🐻 Systems & AI & Sustainability 🌍 Prev: @google, @ibm, @CarnegieMellon🐕🦺, @UofT🇨🇦
AI
Arena says UC Berkeley PhD candidate Melissa Pan explored the “harness tax”: how the system around an AI model affects its cost and performance.
AI
Arena describes a comparison of Claude Code, Codex and Pi. The researchers say harness choice had little effect on task success rate but can significantly affect cost.
