Peter Norvig on the Future of AI and Programming
In this talk, Peter Norvig reflects on the future of AI and programming, focusing on how quickly language models have improved from producing imperfect code to generating practical, efficient solutions and stronger reasoning. He uses examples from programming tasks and logic puzzles to show the gap between 2024 and 2025 capabilities, and argues that AI may be reaching a threshold where usefulness becomes broadly apparent. The discussion also returns to broader questions about language, written knowledge, and the data scale that made modern systems possible.