2605.28405v1 May 27, 2026 cs.AI

Measuring Progress Toward AGI: A Cognitive Framework

Orhan Firat
Orhan Firat
Citations: 7,450
h-index: 10
Ryan Burnell
Ryan Burnell
Citations: 6,934
h-index: 4
Kate Olszewska
Kate Olszewska
Citations: 7,184
h-index: 6
Yumeya Yamamori
Yumeya Yamamori
Citations: 3,202
h-index: 3
Steph Hughes-Fitt
Steph Hughes-Fitt
Citations: 314
h-index: 3
Oran Kelly
Oran Kelly
Citations: 5
h-index: 1
Isaac R. Galatzer-Levy
Isaac R. Galatzer-Levy
Citations: 3,394
h-index: 7
Meredith Ringel Morris
Meredith Ringel Morris
Citations: 284
h-index: 4
Allan Dafoe
Allan Dafoe
Citations: 1,594
h-index: 16
A. M. Snyder
A. M. Snyder
Citations: 22
h-index: 3
Noah Goodman
Noah Goodman
Citations: 3,243
h-index: 3
Matthew M. Botvinick
Matthew M. Botvinick
Citations: 485
h-index: 5
Shane Legg
Shane Legg
Citations: 430
h-index: 5

Despite widespread discussion of AGI, there is no clear framework for measuring progress toward it. This ambiguity fuels subjective claims, makes it difficult to track progress, and risks hindering responsible governance. As a starting point to address this gap, we present a framework for understanding system capabilities in relation to human cognitive abilities. Drawing from decades of research in psychology, neuroscience, and cognitive science, we introduce a Cognitive Taxonomy that deconstructs general intelligence into 10 key cognitive faculties. We then propose a rigorous evaluation protocol in which a system's performance is measured across a suite of targeted, held-out cognitive tasks, generating a 'cognitive profile' that can be used to understand a system's strengths and weaknesses. We hope this framework will provide a practical roadmap and an initial step toward more rigorous, empirical evaluation of AGI.

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