The AI Slowdown Debate | Diet TBPN

14 Sept 2026 · 26 min
TBPN

14 Sept 2026 · 26 min

0:00

In this episode of the Diet TBPN podcast, host Jordi Hays and co‑hosts (Speaker A, C, D) discuss the rapidly evolving "AI pacing" controversy that erupted over a weekend in September 2026. The conversation weaves together personal anecdotes (Speaker C’s bout with rhabdomyolysis), a brief US Open tennis recap used as a metaphor for venture‑capital focus, and a detailed chronology of the AI‑slowdown debate—from the July 28 open‑letter signed by leaders at OpenAI, Anthropic, DeepMind, and Meta, through Sam Altman’s public endorsement, OpenAI’s August pause on a major reinforcement‑learning run, to Dario Amodei’s September 12 essay "We Must Pace the Frontier" and its three‑step proposal. The panel unpacks each step: (1) granting independent third‑party evaluators (e.g., METER) access to frontier labs, (2) creating a government‑backed safety‑standard regime that would require a Sherman‑Act‑type waiver for coordinated action, and (3) coordinating democratic countries with authoritarian regimes such as China. They explore critiques from David Sacks about antitrust and regulatory capture, reactions from Elon Musk, Sam Altman, Demis Hassabis, and the broader AI community, and political commentary including Donald Trump’s claim that only a "high‑IQ president" can guard AI. The episode also touches on economic angles—price competition, semiconductor and energy supply constraints, the role of public‑benefit corporations (PBCs) in insulating labs from shareholder pressure, and the potential impact on margins and market structure. The discussion ends with a live‑call between Trump and Jensen Huang at the All‑In Summit, underscoring the intertwining of tech, policy, and geopolitics in the AI pacing debate.

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