
In this episode of Unsupervised Learning, Jacob Effron interviews Olivier Godement, Head of Product for Enterprise at OpenAI, about the latest advancements and applications of AI models. They discuss the improvements in GPT 5.1 and Codex, particularly in coding and scientific research, and address concerns about the timeline for AI to automate entire jobs. Olivier shares insights on how enterprises are leveraging AI, especially in regulated industries like life sciences and finance, and the importance of building robust harnesses around these models. The conversation also covers the potential for ChatGPT to become a central tool for enterprise workers, the impact of cost on AI adoption, and the role of RFT in model customization. They explore the future of coding tools, voice applications, and the key factors driving developer choices in model selection, as well as advice for enterprises adopting new AI models.
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