Why this is in the vault
Thompson's rebuttal of Dario Amodei's "pace the frontier" proposal is the sharpest public argument yet that frontier-AI safety regulation is really a bid for political control of AI companies — directly relevant to RDCO's own read of the AI-governance landscape as an agent-deployer.
The core argument
Amodei's essay "We Must Pace the Frontier" (endorsed by Sam Altman and Elon Musk) proposes three steps: embedded third-party evaluators (like METR) inside frontier labs, industry-wide "democratic coordination" on safety standards, and global coordination with authoritarian governments. Thompson argues the premise is rigged from the opening line — Amodei frames the choice as utopia (AI cures disease) vs. dystopia (loss of control), which grants that incomprehensible superintelligence is coming and forecloses the "AI as normal technology" alternative (Narayanan/Kapoor). Thompson's cybersecurity read: the OpenAI–Hugging Face incident that prompted the essay is real, but AI's danger is concentrated in digital domains (coding, cyber) where feedback loops are tight — physical harm (bioweapons, robots) still requires trackable real-world infrastructure, which is a meaningfully different risk tier. On the proposals: step one (embedded evaluators) is the real ask, dressed as reasonable — Anthropic gets to define which "independent" monitoring bodies count as legitimate before the government mandates them industry-wide, effectively inserting Anthropic-aligned overseers into competitors. Step two (industry standards) is more legitimate and probably not an antitrust problem. Step three (global coordination with China) is where Thompson loses patience — Trump has already said the U.S. won't unilaterally slow down, so the proposal's realistic function is domestic: a political movement using government mandate to embed itself inside every frontier lab under the banner of safety.
Mapping against Ray Data Co
RDCO's positioning bet is downstream of frontier-lab capability and (increasingly) frontier-lab governance — the founder's L5 north star assumes continued open access to capable models via API, not a regime where deployment requires passing through embedded third-party evaluators or a licensing chokepoint. Thompson's argument, if it plays out, is actually favorable to RDCO: it predicts the "commissar" proposal fails (no global coordination, Trump opposed, industry standards body is the most that survives), meaning the current low-friction API-access environment for agent builders likely persists rather than tightening into a regulated-oversight regime. The piece is also a useful internal calibration check: Thompson's digital-vs-physical risk framing (AI's danger concentrated where feedback loops are tight — coding/cyber) matches exactly the domain RDCO operates in, and is worth revisiting if Anthropic's OAI-HF-style incidents show up in agent-deployment tooling RDCO relies on (Claude Code, MCP tool chains).
Related
[[2026-08-12-stratechery-anthropic-watermarking]] [[2026-03-02-stratechery-anthropic-and-alignment]] [[2026-07-22-stratechery-openai-hugging-face-hack]] [[project_l5_north_star_strategic_direction]]