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2 min read

The AI Re-Acceleration That Wasn’t

What Happened

A recent analysis claims that AI model progress has sharply re-accelerated. Its evidence is the chart below, "showing" Epoch’s Capabilities Index rising from 8.3 points per year before 2024 to 15.5 points per year afterward.

Here is the chart:

Epoch’s complete dataset is much less dramatic and exciting.

Here is the full chart:

So, what gives?

Well, I did the maths. And here is the answer: Using all ECI observations, and controlling for developer and model family, there is no statistically significant breakpoint. A piecewise model—which splits the series into intervals and applies a sub-function to each segment—does not improve on a purely linear trend: p = 0.615, The estimated change in slope has a confidence interval of -8.4 to +23.4 points per year.

In short, the maths shows there is no model acceleration, contrary to claims, and as expected. The result comes from selecting frontier observations only, choosing a breakpoint, ignoring variance collapse, and fitting separate lines on either side.

My earlier work on the full composite shows the stronger underlying pattern: rolling relative model gains have fallen from their 2024 peak, while model dispersion has narrowed sharply.

What It Means