The AI Safety Menu

All laws

Global pause

Indefinite verified global pause. Every country stops frontier AI training indefinitely, with verification.

Cuts lead by~5 monthsof America's lead over China, over 3 years
Cuts p(doom) by~1.3%from a 5% starting estimate
Holds up● Training● Lab's own use● Public release
Enact it on the menuSee the findings

What it does

Every country would stop training new AI models more powerful than today's best, with no end date, until the safety problems are solved. Inspectors would watch chip supplies and data centers to catch anyone who cheats.

Applies to: Frontier training runs in every signatory country.

Where things stand

Frontier training compute keeps growing about 4 to 5 times per year. Only voluntary company safety policies and U.S. export controls constrain it.

Why it costs ~5 months

America stops, and so does China, except for what it can hide. We assume it keeps about 30% of its progress. Net: about a month and a half a year in.

Biggest unknown: Whether China would truly stop and whether a pause could be verified while algorithmic research continues without big training runs.

Why it lowers p(doom) by ~1.3%

Stops frontier AI development everywhere, with no end date, until the world agrees it is safe to continue.

Stopping development everywhere is the most direct way to stop catastrophic AI. The catch is enforcement, plus the risk of a rush if the pause breaks down.

The strongest case that it costs more

A pause that breaks down could leave a hardware overhang and a sudden sprint. Cheaters would gain the most.

The debate

For

Against

Sources

Rough starting points, not precise forecasts. Lead costs assume China doesn't depend on U.S. models, the case least favorable to safety laws, and count 3 years. On the menu you can change every assumption and put in your own numbers. Last priced 2026-09-26.