Researcher Finbarr Timbers details the specific iterative loops required to refine frontier models. He emphasizes that high-quality data curation outweighs raw volume during the alignment phase. This technical breakdown clarifies how RLHF evolves from simple preference matching to complex reasoning. Practitioners can now apply these specific filtering heuristics to improve model reliability.