In this interview, François Chollet discusses his views on the progress of artificial intelligence and the future of deep learning. He argues that while scientific progress is exponential, it is not actually exploding due to the linear increase in scientific discoveries. Chollet also discusses the need for deep learning networks to be able to learn Symbolic Knowledge in order to progress further.
François Chollet discusses the progress of artificial intelligence and deep learning, and argues that a benchmark for intelligence is necessary in order to measure success. He also discusses the potential risks posed by AI in the long term, and how to stay motivated in the face of skepticism.