

188 - Guest: Peter Norvig, AI professor/author/researcher, part 1
35 snips Jan 22, 2024
AI professor/author/researcher Peter Norvig discusses the evolution of AI systems, the challenges of AI in chess, advancements and limitations in language processing of computers, and the development of a humanoid robot airplane pilot.
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Textbook Born From A Field In Transition
- Norvig and Russell wrote AIMA to reflect AI's shift from hand-coded expert systems to probabilistic and machine-learning approaches.
- They iterated across editions as the field expanded and required broader, more careful coverage.
From Rules To Probability And Learning
- AI moved from logic-based expert systems to probabilistic methods to handle real-world uncertainty.
- Machine learning replaced manual rule-writing by learning behavior from examples at scale.
Embeddings Replace Platonic Symbols
- Norvig highlights embeddings as the move away from strict symbolic concepts toward graded similarity in multidimensional space.
- This notion of nearness enables modeling vague concepts that logic could not represent.