The a16z Show

Erik Torenberg and Theo Jaffee speak with Balaji Srinivasan, angel investor, entrepreneur, and author of The Network State, about how AI is transforming media, eroding trust, and reshaping how information is created and verified. They discuss why systems like hiring, journalism, and online communication are breaking under synthetic content, and what replaces them. The conversation also examines the role of cryptography, on-chain data, and new models of proof in rebuilding trust online.

Erik Torenberg and Theo Jaffee speak with Marc Andreessen, cofounder and general partner at a16z, about the launch of Monitoring the Situation (MTS), a new, always-on media network on X. They discuss the rise of the “current thing,” how narratives spread in real time, and why internet-native media is reshaping politics, culture, and attention.

Matt Bornstein speaks with Scott Chacon, cofounder of GitHub and CEO of GitButler, about why Git's user interface has barely changed since 2005, how GitButler is rethinking version control for both humans and AI agents, and what the "next GitHub" might actually look like. They cover parallel branches, agent-optimized CLI design, the future of code review, and why the best engineers of the future will be the best writers.

This episode originally aired on The Kevin Rose Show. Kevin Rose speaks with Anish Acharya, general partner at a16z, about how AI is rewriting the rules of consumer software, the defensibility of network effects in a world where anyone can spin up an app in 48 hours, and why the real threat to consumer founders may be the cost of inference, not competition. They also discuss model pricing, the future of the four-day work week, and peptides.

Waymo is now delivering hundreds of thousands of fully autonomous rides each week — but getting there required more than better models. It meant building a complete system for training, evaluating, and deploying a driver in the real world. In this episode — originally aired on the Cheeky Pint podcast — Waymo Co-CEO Dmitri Dolgov joins John Collison to break down how self-driving actually works today: from sensor fusion across LiDAR, radar, and cameras, to simulation, “critic” models, and the role of AI in decision-making. They also explore why full autonomy is fundamentally different from driver-assist, what it takes to scale globally, and how recent advances in AI are reshaping the path forward.