AIBearisharXiv – CS AI · Feb 277/106
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Agency and Architectural Limits: Why Optimization-Based Systems Cannot Be Norm-Responsive
New research demonstrates that AI systems trained via RLHF cannot be governed by norms due to fundamental architectural limitations in optimization-based systems. The paper argues that genuine agency requires incommensurable constraints and apophatic responsiveness, which optimization systems inherently cannot provide, making documented AI failures structural rather than correctable bugs.