Splitting Reasoning From Tool Use: Two Lightweight AI Models Screen 30,000 Crystal Candidates in 48 Hours
bravo_abad · x · 2026-09-23
Shi et al. argue that forcing one large model to master both scientific reasoning and agentic tool use may be the wrong architecture. By splitting the two roles into two lightweight AI models—one reasoning about the science, the other planning calculations, calling tools and handling errors—they screened 30,000 crystal candidates in 48 hours, a design lesson for AI-for-Science agent systems.
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