Gorelkin, Mikhail: Superintelligence from Complexity: Learning from the Gap Between Human Prediction and Reality

This concept paper proposes that a major untapped training signal for advanced AI lies in the systematic divergence between human predictions and actual outcomes. Public discourse continuously generates forecasts about politics, economics, conflict, technology, institutions, and social change, yet these forecasts are rarely extracted, formalized, scored, and analyzed as a learning resource. The paper argues that this planetary archive of prediction-reality gaps can be understood as a development