Rob Ennals, creator of Broomy, discusses a paradigm shift in working with AI coding agents: moving away from micromanagement towards orchestrating teams of parallel agents. The key is to design robust, automated validation systems and reshape the development environment to empower agents to work autonomously, efficiently, and at scale.
This episode explores the foundations of AI agent memory, drawing parallels with human neuroscience. It also covers the practical impact of AI on data engineering roles, the democratization of AI development through low-code tools, and innovative applications of AI in elementary education to foster critical thinking.
This episode of Mixture of Experts breaks down IBM's enterprise-focused Granite 4.1 and Project Bob, Google DeepMind's DiLoCo distributed training method, the inference-efficient DeepSeek V4 model, and IBM's strategy for achieving quantum advantage through strategic partnerships.
Swyx, co-founder of the AI Engineer conference, reveals how his "tiny team" of nine people leverages AI agents like Cognition's Devin and Town Assistant to manage a multi-million dollar business and organize large-scale events. He shares practical examples of how agents have transformed their workflow, from converting Figma designs to pixel-perfect websites to managing complex conference schedules and even performing personal research tasks, arguing for a future focused on "Agent Experience" (AX).
Encord co-founders Eric and Ulrich discuss their $60M Series C, the company's origins before the AI hype, and their focus on building the essential data infrastructure for physical AI and robotics—the next frontier after LLMs.
Greg Brockman, co-founder and president of OpenAI, discusses the company's insatiable need for compute, the state of scaling laws, and the belief that we are 80% of the way to AGI. He explores how agentic coding tools are transforming software development, the emerging role of human attention as the ultimate bottleneck, and the future of AI in pushing scientific frontiers.