François Chollet, a prominent figure in artificial intelligence, argues that the future of AI lies in hybrid models that combine deep learning with symbolic reasoning. He emphasizes that human cognition is not solely based on intuition or reasoning but is a blend of both, which challenges the current paradigms in AI development. Chollet posits that the true test for AI systems is their ability to adapt to novel situations and create new abstractions rather than merely memorizing patterns. This perspective raises questions about the potential for intelligent systems to handle unknown scenarios, a crucial aspect for the advancement towards artificial general intelligence (AGI). Chollet's views suggest a departure from traditional deep learning approaches, advocating for models that can discover superior methods of thinking and problem-solving beyond classical search techniques. His insights contribute to ongoing discussions about the future directions of AI research and the implications for innovation.