Fine-Tuning Is Not What Reclassifies an AI Deployer
The concern about fine-tuning is that it quietly converts a deployer into a provider, pulling in conformity assessment, technical documentation and a quality management system nobody budgeted for. The concern is misdirected. Fine-tuning is among the least likely routes to reclassification, and the route almost nobody worries about requires no training compute at all.