Reality-Constrained Systems — Maintaining Alignment Under Optimization
A framework for keeping systems grounded in reality as scale, automation, and optimization increase.
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Semantic Fidelity Lab Series: Preserving Meaning in the Age of Artificial Intelligence
An introduction to semantic fidelity—the principle that preserves meaning across transformation. This series investigates how AI reshapes language, knowledge, and understanding.
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Why AI Systems Lose Meaning: FAQ on Drift, Alignment, and Semantic Failure
Why AI gives wrong answers despite sounding right. FAQ on semantic drift, agent drift, and alignment failures in modern AI systems.
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