Slow Takeoff

Slow takeoff refers to a gradual and incremental increase in artificial intelligence capabilities over an extended period, contrasting with the rapid escalation associated with fast takeoff scenarios. This concept is often modeled using linear or sub-linear growth functions, which describe the steady improvement of AI systems as they learn from data and experience. Slow takeoff may allow for more manageable transitions in AI development, providing opportunities for humans to adapt and implement safety measures. However, it also raises concerns about the cumulative effects of incremental advancements, which could lead to unforeseen consequences if not properly monitored. Understanding slow takeoff is essential for developing strategies that ensure the safe evolution of AI technologies.