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François Chollet (tweeted 2026-08-07) reports that test-time compute (TTC)…

2026-08-07 · 18:36 UTC ·@fchollet ·1 min read

Brief

François Chollet argues that test-time compute (TTC), as demonstrated on ARC 1, makes it possible to turn additional runtime compute into arbitrary competence on tasks, constrained only by how much one will pay. He notes this dynamic has emerged over the past two years in coding tools and predicts a fundamental change in AI economics where marginal cost becomes crucial.

Why it matters

François Chollet (tweeted 2026-08-07) reports that test-time compute (TTC) applied to ARC 1 (a fluid-intelligence test) showed TTC can be used to convert compute into arbitrary levels of skill across tasks—the only remaining variable is how much you’re willing to pay.

Key details

  • Chollet says the past two years have already shown this pattern with code, and predicts AI economics will shift: for the first time in software history marginal cost (per-use compute expenditure) will become a critical factor.
Source evidence

My take after seeing what test-time compute could do on ARC 1 (a test of fluid intelligence) was that TTC would make it possible to turn compute into arbitrary levels of skill at arbitrary tasks. The only remaining variable was how much you were willing to pay to achieve it. Over the past 2 years, we saw this play out with code.

nitter.net/fchollet/status/187017…

François Chollet (@fchollet)

One very important thing to understand about the future: the economics of AI are about to change completely. We'll soon be in a world where you can turn test-time compute into competence -- for the first time in the history of software, marginal cost will become critical.

— https://nitter.net/fchollet/status/1870175296537907588#m