Forecasting AI Development by 2027

This chapter analyzes the complexities of predicting AI advancements, particularly the notion of super-exponential growth. It critiques existing models for their arbitrary parameters and the uncertainties they overlook, while exploring the dynamics of automation in AI research. The discussion emphasizes the need for more robust methodologies to accurately forecast AI capabilities and their implications for the future.