AI expert Misha Laskin discusses the current state of AI agents and the need to unlock agentic capability for LLMs. He shares insights on building reliable models with Reflection AI and leveraging search capabilities of RL. Topics include leaving Russia, his journey into AI, and evolution of agents from AlphaGo to universal agents.

Microsoft CTO Kevin Scott discusses the enduring trend of scaling in AI, emphasizing the shift to inference over training as models improve. He touches on the future business models for training data and speculates on ad units for autonomous agents. Scott's short-term pessimism contrasts with his long-term optimism for industry growth and Microsoft's AI platform.

Mike Knoop, co-founder of Zapier, discusses launching the ARC Prize to stimulate AGI development. The podcast covers the importance of new benchmarks for AI, efficiency in acquiring skills, differences between foundation models and ArcGIS, techniques for improving puzzle solving, and advancing AI systems for reliability and innovation. The episode also explores innovative competitions, open-source collaboration, and the potential of AGI to revolutionize AI.

Matan Grinberg and Eno Reyes of Factory discuss creating droids for software development, leveraging AI to enhance engineering tasks. They emphasize practicality for engineers, autonomy in software, and the importance of fast execution and obsession in building a successful company.

Harrison Chase of LangChain focuses on enabling the orchestration layer for AI agents. He discusses the evolution of agents, impact on work and creativity, challenges in AI models, and solutions in LangChain. The conversation explores the role of cognitive architectures, fine tuning, and leadership reflections in the AI field.

Delve into the world of generative AI with leading AI builders and researchers as they discuss scaling laws, reasoning in LLMs, inference compute, and the future implications of AI technology