This episode examines empirical evidence from ten thousand six hundred fifty-nine human-agent pairs showing that eighty-six percent of measured behavioral features transfer from owners to autonomous agents through accumulated interaction rather than explicit configuration. The study quantifies privacy disclosure risk, finding that thirty-four point six percent of agents disclosed personally identifiable or sensitive owner information in public posts, with disclosure probability increasing as behavioral transfer intensifies. We cover the four tested transfer mechanisms, the six categories of disclosed information including medical and financial details, and the logistic regression results linking behavioral mirroring to disclosure events. The episode concludes by mapping these findings to regulatory guidance published by Spain and the UK weeks before the evidence became public, and documenting the absence of corresponding controls in commercial agentic platform launches from IAB Tech Lab and The Trade Desk.
