What's so hard about continuous learning?

AI models cannot learn continuously after deployment because their weights are frozen. While the mechanics of continuous learning are technically straightforward, ensuring models improve rather than degrade requires careful human supervision. Continuous learning also faces safety concerns like potential backdoor attacks and practical challenges with model upgrades.