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The article confirms the Jacob Coxon whistleblower thread as real but shows its amplification was coordinated by AI-policy organizations funded by the same source, suggesting strategic communication in AI policy debates.
This paper consolidates the state of the art in supervised political scaling, investigating whether joint prediction of ideological scales and a middle ground between classification and regression can improve performance.
This paper investigates whether LLMs can identify their own model family from stylometric fingerprints in role-constrained political analysis texts, even after prompt-level anonymization. The findings confirm that anonymization is insufficient and have implications for EU AI Act compliance and multi-agent system validation.