Ajeya Cotra, Daniel Kokotajlo, and Ege Erdil discuss their differing AI forecasts. Key topics include the importance of transfer learning, AI's potential to accelerate R&D, and the expected trajectory of AI capabilities. They explore concrete scenarios and how observations might update their views.
Tom Davidson analyzes AI takeoff speeds – how quickly AI capabilities might improve as they approach human-level AI. He puts ~25% probability on takeoff lasting less than 1 year, and ~50% on it lasting less than 3 years. But he also argues we should assign some probability to takeoff lasting more than 5 years.