EPISODE 2026-09-10

AI Agents in Production and China’s Rules of Deployment

AI agents in production, China’s model rules, deployment sandboxes, and the infrastructure and governance constraints shaping real-world AI.

▶ Full show on YouTube

AI agents are moving into production, and the regulatory and security constraints around deployment are tightening in both the U.S. and China.

The rundown

1:04Opening31 min
OpeningAI agents are making people rethink AI safety, jobs, and deployment as backlash over data centers reshapes the political debate. This opening examines the viral AI backlash, grantmaking and ideological blind spots inside AI safety, the labor case for data centers, and why new AI-agent evidence may be changing public opinion.
32:10Interview43 min
Collin Hogue-SpearsCollin Hogue-SpearsHow does China regulate AI? Collin Hogue-Spears explains how model registries, filing rules, and government oversight shape which AI products get deployed. The conversation connects China's cloud compliance system, GPU constraints, open-weight models, AI incident monitoring, and the very different US approach to regulation.
Watch
Open segment on YouTube ↗
Clips
- China Summons CEOs After AI Failures
  0:00 / 0:00
- America Regulates After The Fire
  0:00 / 0:00
- AI Arms Control Needs Trade Concessions
  0:00 / 0:00
- China Makes Cloud Build Local Expertise
  0:00 / 0:00
- GPU Limits Force Chinese Efficiency
  0:00 / 0:00
1:15:00Interview7 min
Amir HaghighatAmir HaghighatHow do you secure AI agents in production? Amir Haghighat explains why sandbox isolation protects code and data but cannot guarantee what an agent does inside. The Baseten co-founder and CTO also covers Docker versus VM-style boundaries, zero data retention, open-model deployment, blocked egress, and the push to unify inference, post-training, sandboxes, and agent runtimes.
Watch
Open segment on YouTube ↗
Clips
- Even Big Labs Lack The Answer
  0:00 / 0:00
- Docker Isn't A Security Boundary
  0:00 / 0:00
1:22:29Closing77 min
ClosingAI agents are becoming a global information process—not just chatbots—and the race to deploy them raises a harder question: who controls the future? This closing conversation examines AI safety, extinction risk, financial markets, compute, human agency, and why China’s approach to technology feels different.

In this episode

AI agents are forcing a rethink of safety, jobs, and what it means to deploy models in the real world. Collin Hogue-Spears explains how China’s model registries, filing rules, GPU constraints, and incident monitoring shape deployment, while Amir Haghighat of Baseten breaks down sandbox boundaries, egress controls, and open-model production runtimes.

AI agents are making people rethink AI safety, jobs, and deployment as backlash over data centers reshapes the political debate. This opening examines the viral AI backlash, grantmaking and ideological blind spots inside AI safety, the labor case for data centers, and why new AI-agent evidence may be changing public opinion.
How does China regulate AI? Collin Hogue-Spears explains how model registries, filing rules, and government oversight shape which AI products get deployed. The conversation connects China's cloud compliance system, GPU constraints, open-weight models, AI incident monitoring, and the very different US approach to regulation.
How do you secure AI agents in production? Amir Haghighat explains why sandbox isolation protects code and data but cannot guarantee what an agent does inside. The Baseten co-founder and CTO also covers Docker versus VM-style boundaries, zero data retention, open-model deployment, blocked egress, and the push to unify inference, post-training, sandboxes, and agent runtimes.
AI agents are becoming a global information process—not just chatbots—and the race to deploy them raises a harder question: who controls the future? This closing conversation examines AI safety, extinction risk, financial markets, compute, human agency, and why China’s approach to technology feels different.