The argument from catch-up and benchmark artifacts
The argument
AECI rests on few frontier models, recent ones near saturation on most benchmarks, and the post-2025 points are mostly Anthropic's own while the historical trend is mostly other developers'. Acceleration across all frontier developers is smaller (about 1.4x), consistent with Anthropic having caught up from a subfrontier position in a one-off way. Benchmark overfitting or artifacts of the index could also mimic a steeper slope. If so, the data do not show that the faster rate is sustained rather than a jump.
Does it work?
- Does it follow?
- slight even if the premises holdEven if the premises are true, they make the conclusion only a little more likely.constitution →
- Do the premises hold?
- 1 not separately assessed
Granting that frontier-wide acceleration is smaller and that the index is sparse and nearing saturation, these show the Anthropic-only estimate may be inflated and that catch-up could explain part of it, but they do not explain why successive newer models keep pulling further above trend, which a one-off catch-up would not produce. The argument chiefly widens uncertainty. It leans on the smaller cross-developer acceleration, not yet assessed.
Premises
- UnassessedNo current assessment. Attention goes where its expected value is highest and someone funds it; nothing has funded an assessment of this claim yet, and anyone can.constitution →Ratio of AECI frontier-model growth rate after October 2025 to before October 2025, across all AI developers
Where it is made
Passages where sources make, criticize or mention this argument. They record where it appears, not how strong it is, and none has precedence over another.
No source is recorded as making it.