ODEs

Control is what enterprise AI teams usually discover after deployment, not before it. A model behaves well in demos, then starts drifting in production: too agreeable in customer support, too evasive in compliance workflows, too casual around safety boundaries, too confident when it should be boringly uncertain. The usual fixes are familiar: rewrite prompts, add guardrails, retrain, fine-tune, rerank, escalate to humans, hold another meeting with a title like “alignment roadmap.” Civilization advances one calendar invite at a time. ...