AI Safety

How long AI pauses would last based on ECI lag

A 5-month AI pause requires just OpenAI and Anthropic to stop.

Deep Dive

Epoch AI's latest analysis quantifies the lag between leading AI labs using the Epoch Capability Index (ECI), a measure of model performance. The study compares each company's top model to OpenAI's frontier curve—tracking cumulative progress by release date—to estimate how long a pause would last before competitors catch up. For instance, Anthropic's Claude Fable 5 lags just 3 months behind, while Mistral and Microsoft trail by 20 and 26 months respectively. Some estimates (like Mistral's) may be inflated due to missing data, but the trend is clear: progress is unevenly distributed.

The analysis then flips the question: *How many companies must pause to achieve a given pause duration?* Assuming companies stop in order of their ECI scores, a 5-month pause requires only OpenAI and Anthropic to halt, as Moonshot AI (Kimi K3) would catch up in that time. Extending pauses becomes exponentially harder—9 months needs 7 companies to stop, and 18 months requires 11. This highlights the challenge of coordinated pauses, as even a modest slowdown demands broad industry cooperation.

Key Points
  • OpenAI is 0 months behind its own frontier curve; Anthropic's Claude Fable 5 is 3 months behind.
  • A 5-month pause requires only OpenAI and Anthropic to stop; a 9-month pause needs 7 companies to halt.
  • Progress lag varies widely: Mistral/Microsoft trail by 20+ months, while DeepSeek and Z.ai lag by 9.

Why It Matters

This quantifies the feasibility of AI pauses, showing how few companies must stop for short delays—but long pauses demand impossible coordination.

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