Adam Wenchel, CEO of Arthur.ai, discusses AI security, including boundary detection attacks and financial services governance. They explore the motivations behind AI governance and the dynamics between training and evaluating future LMs. The state of reasoning capabilities in large LMs and the blurring distinction between AI security and performance are also discussed.

Adam Wenchel, CEO of Arthur, discusses challenges in deploying generative AI, addressing bias, observability, and practical implications in business. Topics include AI bias, observability of AI systems, and implications of AI in business.

Adam Wenchel, CEO of Arthur, discusses evaluating AI model performance. He shares insights on Capital One's early AI strategy and the value of monitoring AI model performance. The podcast also explores the debate between closed foundation models and OpenSURS models, managing accuracy in enterprise deployment of LLMs, and the importance of explainability in AI models. The speakers discuss the intense process of creating enduring startups.