In short : Amodei asked the industry to pace itself, but nobody defined the word. Five camps answered : interpretability wants time to understand models, labor wants time for workers, the economic camp wants growth to service the debt, the geopolitical camp wants position against China, & the regulatory capture camp wants no new rules. Each priced the consequences of a pause & none named a speed. The one mechanism that could produce a number, a training compute threshold, was tried in 2023 at 10^26 FLOPS, revoked before any model crossed it, & obsolete within weeks.

Dario Amodei asked the industry to pace itself on a Saturday. But what does that word mean?

The proposal promises auditors examining AI closely, collective action in the industry to meter the pace of innovation, & international coordination across allied countries. Pacing is a policy question. Five camps priced the consequences & none named a speed.

1. The interpretability camp wants time. Evan Hubinger, who leads alignment science at Anthropic, puts the odds that AI goes catastrophically wrong for humanity above 10 percent within a decade & says there is no plan for it. Interpretability, the science of understanding what happens inside a model, “doesn’t always produce clear & reliable results,” Amodei wrote. “We still only understand a tiny fraction of what goes on inside these models.”
2. The labor camp wants time for workers, not for researchers. Bernie Sanders has introduced a federal moratorium on new AI data center construction until safeguards are enacted.
3. The economic camp sees AI’s contributions to GDP as the path to managing the national debt. “The world is awash in debt,” Bessent said at the G20, “& the only way for us to get out of this is to grow our way out of this… This CapEx will turn into productivity, & that will be extremely disinflationary,” he said. “I would guess that in the next six months we will start seeing the benefits of that.” It is the only dated prediction any camp has made.
4. The geopolitical camp seeks to sustain strategic advantage in the AI race. “We’re leading China in AI,” Trump said Sunday. “Whoever wins AI wins.”
5. The regulatory capture camp wants no new rules at all. Write the rules & your rivals pay to obey them. David Sacks, who chairs the President’s Council of Advisors on Science & Technology, put it to Amodei & Altman directly : “Stop pretending you need anyone else’s permission. Stop pretending antitrust law has to be suspended so you can form a cartel.” If the labs will not slow down on their own, he wrote, “we’ll know this was just another bid for regulatory capture.” Lina Khan, who chaired the FTC until 2025, arrives at the same place from the opposite direction. “We shouldn’t let discussions about new legal regimes distract from the fact that there’s no AI exemption from laws already on the books.”

These perspectives still do not answer the question : what does pacing mean?

In January 2025 a rival matched the frontier in 41 days. Today the lead lasts months, & the gap between open & closed models has widened from three months to four. Should the interval be 60 days? 160? 600?

Can we really control the speed of innovation to that level of precision?

Amodei is specific about the lever. He would limit the ingredients that go into frontier models, training compute & the nature of training runs. Compute thresholds have been tried. A 2023 executive order required reporting above 10^26 FLOPS, & was revoked shortly thereafter. No model had crossed that line while the rule stood. The first, Grok-3, shipped weeks later, & roughly ten will clear it this year. Training compute grows about fivefold a year. A fixed number is a ceiling the floor reaches on its own.

The question is more than how fast. It is who decides.