Frontier Post-Training Recipe Review with Finbarr Timbers
Interconnects (Nathan L.)·2 days ago·Commentary
In the 18th installment of his interview series, Interconnects author Nathan Lambert speaks with Finbarr Timbers about the post-training techniques used at frontier AI labs. The conversation examines the methodologies — including supervised fine-tuning, reinforcement learning from human feedback, and preference optimization — that shape model behavior after pretraining. The discussion offers a practitioner's perspective on the evolving landscape of alignment and capability tuning at scale.
