POLICY · REGULATION · #658
New report 'Pacing the Frontier' urges research into how to enforce an AI slowdown
A new report coauthored by Raymond Douglas (University of Toronto), titled Pacing the Frontier: A Research Agenda, argues that enforcing a slowdown in AI development is an unresolved research problem and surveys possible approaches including independent inspections, third‑party evaluations, compute tracking, and new model-evaluation methods. The article also notes industry moves—such as Anthropic’s internal tracking of Claude’s contributions—and differing views on whether government or outside expertise should lead enforcement.
KEY POINTS
- A new report coauthored by Raymond Douglas (University of Toronto), titled Pacing the Frontier: A Research Agenda, argues that enforcing a slowdown in AI development is an unresolved research problem and surveys possible approaches including independent inspections, third‑party evaluations, compute tracking, and new model-evaluation methods.
- The article also notes industry moves—such as Anthropic’s internal tracking of Claude’s contributions—and differing views on whether government or outside expertise should lead enforcement.
- Clarifying practical, enforceable mechanisms for slowing AI development would shape future regulation, oversight, and industry practices around frontier models.
WHY IT MATTERS
Clarifying practical, enforceable mechanisms for slowing AI development would shape future regulation, oversight, and industry practices around frontier models.