Model Drift or Infrastructure Noise? Recent data suggests Claude performance degradation may be caused by scaffolding changes rather than the model itself. Factors like cache TTL and adaptive thinking flips create perceived instability in production. Enterprise leaders must distinguish between core model decay and orchestration layer volatility to maintain reliable AI pipelines.
Theme: The shift from monitoring model weights to auditing the surrounding infrastructure.