AGI Definition Logo

A Definition of AGI

CAIS Logo

1Center for AI Safety

2University of California, Berkeley

3Virtue AI

4Morph Labs

5University of Michigan

6LG AI Research

7University of Oxford

8Stanford University

9University of Wisconsin–Madison

10Gray Swan AI

11Carnegie Mellon University

12Cornell University

13Hong Kong Baptist University

14HKUST

15Nanyang Technological University

16KAIST

17University of California, Santa Cruz

18Massachusetts Institute of Technology

19University of Tübingen

20University of Washington

21University of Toronto

22Vector Institute

23University of Illinois Urbana-Champaign

24Beneficial AI Research

25Conjecture

26Institute for Applied Psychometrics

27New York University

28CSER

29Université de Montréal

30LawZero

Introduction

The lack of a concrete definition for Artificial General Intelligence (AGI) obscures the gap between today’s specialized AI and human-level cognition. This paper introduces a quantifiable framework to address this, defining AGI as matching the cognitive versatility and proficiency of a well-educated adult. To operationalize this, we ground our methodology in Cattell-Horn-Carroll theory, the most empirically validated model of human cognition.

The framework dissects general intelligence into ten core cognitive domains—including reasoning, memory, and perception—and adapts established human psychometric batteries to evaluate AI systems. Application of this framework reveals a highly “jagged” cognitive profile in contemporary models. While proficient in knowledge-intensive domains, current AI systems have critical deficits in foundational cognitive machinery, particularly long-term memory storage.

The resulting AGI scores (e.g., GPT-4 at 27%, GPT-5 at 57%) concretely quantify both rapid progress and the substantial gap remaining before AGI.

GPT-4 and GPT-5 capabilities radar chart

The capabilities of GPT-4 and GPT-5.

Definition

"AGI is an AI that can match or exceed the cognitive versatility and proficiency of a well-educated adult."

The framework comprises ten core cognitive components, derived from CHC broad abilities and weighted equally (10%) to prioritize breadth and cover major areas of cognition:

Acquired Knowledge

Perception

Central Executive

Output

Citation

@misc{hendrycks2025definitionagi,
      title={A Definition of AGI}, 
      author={Dan Hendrycks and Dawn Song and Christian Szegedy and Honglak Lee and Yarin Gal and Erik Brynjolfsson and Sharon Li and Andy Zou and Lionel Levine and Bo Han and Jie Fu and Ziwei Liu and Jinwoo Shin and Kimin Lee and Mantas Mazeika and Long Phan and George Ingebretsen and Adam Khoja and Cihang Xie and Olawale Salaudeen and Matthias Hein and Kevin Zhao and Alexander Pan and David Duvenaud and Bo Li and Steve Omohundro and Gabriel Alfour and Max Tegmark and Kevin McGrew and Gary Marcus and Jaan Tallinn and Eric Schmidt and Yoshua Bengio},
      year={2025},
      eprint={2510.18212},
      archivePrefix={arXiv},
      primaryClass={cs.AI},
      url={https://arxiv.org/abs/2510.18212}, 
}