Laguna S 2.1 solved a math problem open since 1975 for less than 10 cents. Poolside trained this open-weight model to iteratively revise failed approaches during long agentic sessions. It outperforms several larger rivals in coding benchmarks. This efficiency proves that iterative reasoning beats raw scale for complex programming tasks.