Research questionHow can intelligent systems be compared under deployment constraints when representational economy, prediction, and resource use trade off?Predictive accuracy alone can favor systems that are costly to store or run, while reducing representation size may affect predictive quality. Comparisons also depend on how resource use is represented and how these attributes are combined. Latest papersRecent research connected to this question, newest first.CPR-IE:A Compression-Prediction-Resource Intelligence Efficiency MetricThe paper presents CPR-IE as a constructed efficiency representation for comparing systems using compression, prediction, and resource burden. Its analysis covers Pareto consistency, unit invariance, ranking-stability regions, cross-task aggregation, finite-sample ranking guarantees, robust selection under exponent uncertainty, and regret bounds; it does not claim a universal law or definition of intelligence.research paper · Sep 4, 2026Can machines think efficiently?The source proposes extending the Turing Test by accounting for the energy spent answering questions and linking intelligence assessment to finite resources. It does not specify a measurement protocol or how resource costs beyond energy should be quantified.research paper · Sep 1, 2026