The Anatomy of Algorithmic Thought: A Comprehensive Treatise on Circuit Discovery, Reverse Engineering, and Mechanistic Interpretability in Transformer Models

Executive Summary The rapid ascendancy of Transformer-based Large Language Models (LLMs) has outpaced our theoretical understanding of their internal operations. While their behavioral capabilities are well-documented, the underlying computational mechanisms—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 Mechanics of Alignment: A Comprehensive Analysis of RLHF, Direct Preference Optimization, and Parameter-Efficient Architectures in Large Language Models

1. Introduction: The Post-Training Paradigm and the Alignment Challenge The contemporary landscape of artificial intelligence has been irrevocably altered by the emergence of Large Language Models (LLMs) trained on datasets Read More …