The Evolution of AI: From Heuristics to Machine Learning

This chapter explores the transformation of AI models, highlighting the shift from rule-based systems to machine learning methods with examples from chess and self-driving cars. It emphasizes the importance of structured workflows, the challenges posed by hard-coded solutions, and the need for startups to adapt to rapidly evolving technology. The discussion also addresses the balance between vertical and horizontal AI solutions, underscoring the role of trust and integration in competitive markets.