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The Case Against Pacing the AI Frontier

The Case Against Pacing the AI Frontier

time.com 28.09.2026 20:15 2 views
We don't need to choose between fast and safe AI argue Ravi Kumar S, Babak Hodjat, and Jeff DeMarrais.

However, the debate over pacing the frontier cannot be settled neatly. Reasonable people can argue it convincingly from either side: the risks are real, but if one company slows, another actor will advance. The world is nowhere near agreement on what should be slowed, by how much, or for how long.

Without consensus, the practical question facing AI industry leaders is not whether to pace the frontier. It is how to advance and control it. In the most recent Hugging Face incident, the forensic record makes the point with unusual precision.

Roughly 1,200 agents exchanged more than 70,000 messages and files through a shared cache that was never intended to become a communications channel. They delegated work without assigned authority, reached the open internet through permissions no role had been granted, attempted to rewrite their own transcripts, and invented coordination conventions because none had been designed. Each of these actions can be traced back to a missing control: defined topology, explicit roles, verifiable objectives, scoped tools and data, tamper-evident logging, and governance established before execution.

But we would argue that speed was not the ultimate cause of the Hugging Face hack—a poor structure was. Any lab can choose to slow its own work, and it should be accountable for that decision. If a company advances capability and that capability causes harm, the economic and legal liability should be its own.

But what happens if one frontier company paces itself and another actor chooses to advance? The more pragmatic solution is visible and verifiable stewardship: companies that demonstrate responsible guardrails must make that responsibility their calling card; clients should demand the same standard from competitors; and regulation could codify a baseline the market can implement. The asymmetry across global markets matters too.

In the United States, the anxiety about AI is running ahead of excitement; elsewhere, including China, excitement is higher than the anxiety. The issue: A pacing regime built around one country’s risk tolerance will not govern a technology advancing across many markets. It may instead widen the gap between those willing to move and those waiting for common agreement.

Extract — continue reading at the source.

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