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This paper proposes a new paradigm for measuring intelligence beyond human capability using adversarial psychometric rating systems, where models generate challenges to separate other systems, enabling evaluation that scales with AI capabilities.
This paper proposes a thermodynamic measure of intelligence defined as 'rare-valid lift' and argues that recursive self-simulation is necessary and nearly sufficient for high thermodynamic intelligence, making intelligence measurable on a universal scale.