Published on October 28, 2025 2:55 AM GMTTL;DR: This paper takes existing mathematical results to build the most general and rigorous case for why we should be very cautious about pushing optimization too far in General-Purpose AI systems, as it likely leads to catastrophic Goodhart failures, and ultimately loss of control.Written by Antoine Maier, AI Security Researcher at the General-Purpose AI Policy Lab, and Aude Maier, PhD student at the École Polytechnique Fédérale de Lausanne (EPFL).Discuss Read More
Paper: Take Goodhart Seriously: Principled Limit on General-Purpose AI Optimization
Published on October 28, 2025 2:55 AM GMTTL;DR: This paper takes existing mathematical results to build the most general and rigorous case for why we should be very cautious about pushing optimization too far in General-Purpose AI systems, as it likely leads to catastrophic Goodhart failures, and ultimately loss of control.Written by Antoine Maier, AI Security Researcher at the General-Purpose AI Policy Lab, and Aude Maier, PhD student at the École Polytechnique Fédérale de Lausanne (EPFL).Discuss Read More
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