The Paradigm Shift in Statistical Learning: A Comprehensive Analysis of Double Descent and Benign Overfitting

1. Introduction: The Crisis in Classical Statistical Learning Theory For the latter half of the 20th century, the theoretical understanding of machine learning and statistical estimation was dominated by the Read More …

The Metrics of Intelligence: A Holistic Framework for Evaluating Modern AI Systems

Executive Summary The evaluation of Artificial Intelligence, specifically Large Language Models (LLMs) and autonomous agentic systems, has entered a period of profound transformation. We are currently witnessing a decoupling between Read More …

The Metrics of Intelligence: A Holistic Framework for Evaluating Modern AI Systems

Executive Summary The evaluation of Artificial Intelligence, specifically Large Language Models (LLMs) and autonomous agentic systems, has entered a period of profound transformation. We are currently witnessing a decoupling between Read More …