Pacing AI Means More Compute, Not Less

About this episode

The debate over "pacing" AI for safety is a red herring, as the practical outcome of more safety work is not a slowdown but a net increase in demand for compute hardware. Austin Lyons and Vik Sekar unpack Dario Amodei's call to slow down frontier AI development, arguing that the true governors on AI are not voluntary agreements but physical data center bottlenecks and geopolitical realities. They conclude that the push for more safety and interpretability will ultimately drive more sales of both training (GPUs) and inference (XPUs) hardware. Today's sponsor is G2i — expert training data, evals, and RL environments for AI labs: https://fandf.co/4wZvKHS Chapters: 0:00 Introduction: Pacing AI 1:36 Recapping Dario Amodei's Essay 7:42 Hot Take: Anthropic vs. OpenAI 11:34 The John Deere Playbook 15:22 The Problem with Interpretability 17:53 Pulling the Plug 19:03 The Real Bottleneck: Data Centers 22:03 The Geopolitical Blind Spot 23:41 Counter-narratives: Meta & Open Source 27:26 The Investment Thesis: Pacing Increases Compute 32:29 The Financial System Analogy 36:05 AI Safety as the New Cybersecurity Follow Chipstrat: Newsletter: https://www.chipstrat.com X: https://x.com/chipstrat