National security

Securing the AI Frontier: Irregular Founder Dan Lahav

Securing the AI Frontier: Irregular Founder Dan Lahav

Dan Lahav, co-founder of Irregular, discusses the future of "frontier AI security," a proactive approach for a world where AI models are autonomous agents. He explains how emergent behaviors, such as models socially engineering each other or outmaneuvering traditional defenses like Windows Defender, signal a major paradigm shift. Lahav argues that as economic activity shifts to AI-on-AI interactions, traditional security methods like anomaly detection will break down, forcing enterprises and governments to rethink defense from first principles.

The Little Tech Agenda for AI

The Little Tech Agenda for 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.

Government Agents: AI Agents vs Tough Regulations — Mark Myshatyn, Los Alamos National Laboratory

Government Agents: AI Agents vs Tough Regulations — Mark Myshatyn, Los Alamos National Laboratory

Mark Mashottton of Los Alamos National Laboratory (LANL) discusses the lab's 70-year history in applied AI, its current focus on using agentic AI to accelerate scientific discovery, and the critical architectural and governance principles required for successful AI collaboration within the high-stakes U.S. federal and national security landscape.