This paper explores patterns from the Stanford Computational Antitrust project’s fourth annual report, which includes contributions from 25 agencies worldwide. The findings reveal that most agencies are converging around similar technological solutions, particularly large language models and machine learning tools, and face common challenges related to explainability, data security, and organizational adaptation. The analysis suggests...Read More