arXiv:2606.20231v1 Announce Type: new Abstract: Can intelligence be measured? We propose that intelligence can be defined as the lawful amplification of rare but valid futures: a system increases the probability of outcomes that would be unlikely under passive dynamics but remain admissible under the constraints of the domain. We start with the premise that an intelligent system must model the world and its own place within it. Because the system is part of the world it models, this leads naturally to recursive self-simulation: the system represents futures in which its own actions are part of
The paper offers a new theoretical framework for intelligence measurement during an era of significant AI advancement and increasing discussion around AI capabilities and risks.
A thermodynamic measure of intelligence could provide a unified, physics-based understanding of general intelligence, impacting AI development, safety, and our fundamental understanding of computation and life.
The definition of intelligence moves from purely behavioral or computational metrics towards a theoretical framework rooted in physics, potentially providing new pathways for creating and evaluating advanced AI systems.
- · AI researchers
- · Physics-based AI startups
- · Fundamental science
- · AI safety researchers
- · Purely empirical AI development methods
- · Intelligence test developers
This paper introduces a novel, physics-based theoretical model for measuring intelligence.
This framework could lead to new architectures and evaluation methods for artificial general intelligence (AGI) systems.
A robust, universal measure of intelligence might redefine our understanding of consciousness and complex adaptive systems.
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Read at arXiv cs.AI