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."
Gavin Baker, CIO of Atreides Management, and David George, General Partner at a16z, provide a macro view of the AI landscape. They discuss the trillion-dollar data center buildout, compare the current AI boom to the 2000 telecom bubble, analyze the competitive dynamics in AI infrastructure between Nvidia and Google, and explore the evolving business models for AI applications and the future of SaaS.
AI is driving an unprecedented buildout of physical infrastructure. Experts from Google and Cisco discuss the "AI industrial revolution," where power, compute, and networking are the new scarce resources, demanding a complete reinvention of the technology stack from silicon to software.
Researcher Stephanie Hare discusses the need for a guiding ethos in AI, similar to the Hippocratic Oath, to balance innovation with harm reduction. She explores the challenges of regulating technology, the degradation of the internet with AI-generated content, and the critical collision between AI's infrastructural demands and the climate crisis.
Nvidia CTO Michael Kagan explains how the Mellanox acquisition was key to scaling AI infrastructure from single GPUs to million-GPU data centers. He covers the critical role of networking in system performance, the shift from training to inference workloads, and his vision for AI's future in scientific discovery.
Luke Wroblewski of Sutter Hill Ventures discusses AgentDB, a database system designed for AI agents, and a paradigm shift in software development where building precedes designing, driven by the power of large language models.