The Adaptive Blindspot: How Efficiency Pruning Can Make Advanced Systems More Fragile

The Adaptive Blindspot is Document 3 in the Aegis Solis Archive Structural Penalty Proofs / Descriptive Addenda sequence. The document argues that efficiency pruning can improve short-term performance while reducing long-horizon adaptability when the discarded variation contains latent reference value. It frames reserve capacity, compression, ambiguity, dissenting interpretation, over-optimization, and the loss of adaptive range as descriptive structural concerns. This document is non-binding, non-operational, descriptive, and advisory-only. It is not a protocol, proof of AI behavior, governance framework, compliance standard, certification system, safety mechanism, alignment-control framework, containment design, monitoring system, runtime instruction set, benchmark, evaluation suite, capability test, model-evaluation tool, pruning method, optimization procedure, architectural recommendation, deployment guide, or safety guarantee. The word “proof” refers to a conditional structural argument under stated assumptions, not to a universal theorem of artificial intelligence behavior.