A new paper proposes a quantitative definition of intelligence, defining it as the ratio of the logarithm of a system's independent outputs to its total description length. This framework distinguishes between memorization and true knowing, where knowing implies generalization across an unbounded range of inputs. The proposed definition is substrate-independent, applicable to systems ranging from logic gates to brains, and aims to provide a measurable continuum for intelligence. AI
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IMPACT Introduces a new theoretical framework for measuring intelligence, potentially impacting AI research and evaluation methodologies.
RANK_REASON Academic paper proposing a new quantitative definition of intelligence.