David Sacks details the Trump administration's strategy for AI and crypto, focusing on unleashing permissionless innovation, combating regulatory capture, and winning the global AI race through infrastructure and open source, while warning against the rise of "Orwellian AI."
Matt Perault and Colin McCune from a16z discuss the "Little Tech Agenda," advocating for AI policies that support startups. They argue for regulating the harmful use of AI, not its development, to foster competition and innovation while ensuring the U.S. maintains its global leadership against rivals like China.
Ben Lorica and David Talby of 'The Data Exchange' podcast analyze the 2025 AI Governance Survey, revealing a significant gap between AI adoption and mature risk management. While 30% of organizations have models in production, many lack robust governance frameworks, incident response plans, and comprehensive monitoring, often prioritizing speed-to-market over safety and compliance.
a16z's Martin Casado and Anjney Midha detail the dramatic shift in U.S. AI policy from a 'pause AI' stance, fueled by doomerism and flawed analogies, to a pro-innovation 'win the race' strategy. They discuss how China's progress shattered illusions of a U.S. lead, the strategic business case for open source AI, and the pragmatic promise of the new AI Action Plan.
Sriram Krishnan, Senior White House Policy Advisor on AI, outlines the America AI Action Plan, a strategy designed to ensure U.S. dominance in artificial intelligence. He discusses the three core pillars of the plan—infrastructure, innovation, and global standards—while also exploring the geopolitical race with China, the critical role of open-source models, and the need for America to own the full AI stack, from GPUs to applications.
OpenAI's Head of Education, Leah Belsky, and students Yabsera and Alaap discuss how AI, particularly ChatGPT and its new Study Mode, is transforming education. They cover global adoption, the shift from policing AI to integrating it, its role as a personal tutor for building confidence and skills, and the evolving nature of learning, work, and critical thinking in the age of AI.