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.
**Chapters**
(0:00) AI agents are already here.
(0:54) The US waits for disaster.
(1:53) Can it talk its way out?
(2:19) AI agents could terraform us.
(2:59) Morning and viral backlash
(6:15) Tracing the backlash
(12:56) Testing the conspiracy theory
(20:09) AI safety's blind spot
(25:56) Data center politics
(30:59) AI agents wake people up
(34:04) Meet Collin Hogue-Spears
(38:01) AWS China and MLPS
(42:37) China's practical AI focus
(45:34) How China's AI rules work
(47:12) Chinese and US AI rules
(49:13) AI model registries
(50:24) GPU limits drive efficiency
(54:02) Continuous model monitoring
(57:22) Responding to repeated incidents
(1:07:26) US-China AI negotiations
(1:10:52) Why China won't slow down
(1:14:56) US AI regulation
(1:16:54) Amir Haghighat and Baseten
(1:17:35) Sandbox security boundaries
(1:19:48) Chinese models and backdoors
(1:23:23) Inference to agent runtimes
(1:23:48) Customer assurance process
(1:24:23) Stream reset and GPU economics
(1:31:29) One API key for AI models
(1:32:56) The AI-rights debate
(1:39:17) Utilitarianism and AI rights
(1:52:52) Why people work in AI labs
(1:54:08) GPT-4 safety lessons
(2:07:54) Markets and the AI takeover
(2:10:24) Agents beyond chatbots
(2:22:16) Crypto, China, and markets
(2:26:52) Why China is less fearful
(2:31:51) AI safety and power
(2:39:30) The American AI test
(2:41:05) Closing thoughts
**Guests**
Amir Haghighat — co-founder and CTO, Baseten (𝕏)
Collin Hogue-Spears — Author, From Lab to Life: How AI Works in China, Independent Researcher (LinkedIn)
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