In this Take, I break down why the biggest AI labs, while deeply unprofitable sitting on massive future compute obligations, are racing toward trillion-dollar valuations. I explore how open-source competition, especially from China, is crushing their moat, and why that pushes them toward lobbying for fear-driven regulation, immunity, and government partnerships. Ultimately, I argue that the AI panic is about preserving a failing business model and building a centralized surveillance infrastructure, and why we shouldn’t be the ones paying their bill.
Chapters
(00:00:00) - Introduction
(00:00:27) - OpenAI’s insane obligations
(00:01:51) - Anthropic’s profit illusion
(00:02:40) - Trillion-dollar IPO dreams
(00:03:12) - The open-source threat
(00:04:38) - Engineering the panic
(00:06:10) - Regulatory moat and control
(00:09:11) - What this is all about
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References from the episode
- The Hater's Guide To AI Debt (Part 1): https://tinyurl.com/3tvvsbee
- The Hater's Guide To AI Debt (Part 2): https://tinyurl.com/5n95nwpy