AI Downtime

The provided texts explore the concept of AI downtime and frequent retraining, particularly daily retraining, as mechanisms to maintain alignment with human goals. Drawing parallels to human sleep and memory consolidation, they suggest downtime allows AI systems to reinforce learning, update models with new data, and evaluate their alignment. While frequent retraining appears beneficial in dynamic environments to prevent catastrophic forgetting and adapt to changes, the optimal frequency is context-dependent and requires balancing benefits with computational costs. Ultimately, the sources emphasize that periodic rest and retraining are crucial for ensuring AI systems remain safe, effective, and aligned with human values over time.