Claim◆Article
In MIT and Columbia's 'Racing to Ruin' game-theory model, the two key variables for rival AI firms achieving a stable coordinated slowdown are transparency about technology development and the ability to model rivals as trustworthy, rational actors.
Researchers modeling R&D competition between duopolists in the shadow of disaster find that stable slowdown outcomes hinge on transparency and trust, with trust levels determining whether firms race to ruin or stop. ✦ AI generated
Jack Clark · Import AI · 2026-08-10 · original ↗
The conclusion is that the two key variables in achieving stable outcomes are some level of transparency about technology development, as well as being able to model the other firms as trustworthy, rational actors.
Read full article ↗excerpt · fair-use quotation
- ·MIT-Columbia game-theory model of rival AI R&D duopoly
- ·Two key variables drive stable coordinated slowdown
- ·Transparency about technology development is essential
- ·Modeling rivals as trustworthy, rational actors is required
- ·Trust determines racing to ruin vs. stopping
Around this claim
This moment responds to
supports → Avoiding a 'death run' depends on the ability to trust other firms: with low trust every equilibrium races to ruin, while with high trust the probability that two rational firms race forever vanishes.Jack Clark · Import AIprovides context → The world is currently like driving a car with only an accelerator pedal and no brake or telemetry, but proposals like IFP's build out the proverbial pedals and sensing systems so we can change course or slow down during a crisis.Jack Clark · Import AI