
In this episode of Unsupervised Learning, Jacob Effron interviews Olivier Godement, Head of Product for Enterprise at OpenAI, discussing the advancements and enterprise applications of AI models. They explore the progress in AI for science, the development of scaffolding and harnesses around models, and the potential convergence of these patterns across different industries. Godement shares his insights on the timeline for AI agents, the next frontiers for models, and practical tips for enterprises adopting and maximizing the value of OpenAI products, including the latest models like GPT 5.1 and Codex. The conversation also covers the role of continuous learning, the impact of cost reductions, and the increasing importance of coding capabilities in AI, as well as the balance between model capabilities and the harnesses built around them.
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