arXiv cs.CLPaper
SAIL: Scientific Agentic Intelligence via a Science-Aware Loop
This is a real story about training efficiency and the emerging pattern of using frontier models to synthesize data for smaller models. SAIL's science-aware loop is clever: agents spot what the small model fails at, generate curriculum-aligned problems, then distill back down. For builders, this validates the strategy of using agents to improve base model families. For investors, this signals how competitive advantage shifts from scale to synthesis quality. It's not frontier work, but it's how the next generation of specialized models gets built.