The Boring Version of Continual Learning
Continual learning for deployed models will become as mundane and commoditized as software development
“soon I think models are going to look a lot like that”
Will Brown of Prime Intellect argues that continual learning is rapidly losing its sci-fi mystique and will soon resemble mature software engineering — versioned, eval-driven, and operationally boring. The talk draws a direct parallel between the software commoditization arc and where model training and adaptation are headed for production agent deployments. The core insight is that the experimentation-to-production pipeline for agents mirrors traditional software development cycles, including regression testing, rollbacks, and distribution shift management.