Description
In this episode, Chief Legal & Policy Officer Jai Ramaswamy, Matt Perault, and a16z General Partner Martin Casado take a first-principles look at AI regulation, arguing that policymakers should focus on regulating harmful uses rather than model development until AI’s marginal risks are better understood. Drawing on decades of software governance debates, from encryption to cybersecurity, they contend that development-level rules are hard to define, easy to loophole, and likely to become obsolete in a fast-moving field where even the definition of “AI” remains unstable. They also unpack how regulatory uncertainty already creates real-world consequences by chilling open-source releases, advantaging well-resourced incumbents over startups, and pushing the next generation of builders and researchers toward Chinese open models, making the case for evidence-based, technology-neutral policy that protects against bad behavior without stifling innovation.