Rethinking the Metric: Why Measuring AI Progress in 'x Times Faster' is Misleading
JacquesThibs · x · 2026-08-13
The author questions the industry norm of claiming AI progress will be "x times faster," arguing that this approach inappropriately averages out things that shouldn't be averaged together.
For instance, while AI-driven autoresearch might optimize local minima by 1000x, it remains unclear what this actually means for the field as a whole. Simply using a multiplier can lead to misconceptions about the true pace and impact of AI development.
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