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.
Sequoia Capital partners argue that AI is a revolution in computation, not just communication. They explain how long-horizon agents are reshaping every layer of work, comparing the current shift to the Industrial Revolution's impact on manual labor and suggesting that innovations that once took a century are now possible in a hundred days.
Jim Fan of Nvidia outlines the endgame for robotics, arguing it will mirror the successful playbook of Large Language Models. He introduces "The Great Parallel," a roadmap where World Models replace Language Models, and data collection shifts from limited teleoperation to scalable egocentric video, culminating in a future of physical APIs and automated research.
Danilo Campos of PostHog details the common failure modes of LLM-based code generation—from model rot to security risks—and shares the practical, prose-driven strategies his team uses to make their autonomous coding agent reliable for thousands of users.
Cognitive psychologist Yanina Ledovaya explains how to boost developer productivity and satisfaction by focusing on three universal human needs from Self-Determination Theory: Autonomy, Competence, and Relatedness. This talk delves into how these psychological drivers underpin developer motivation, influence the adoption of AI tools, and provide a practical framework for managers to create more effective and engaging work environments.