The Michael Shermer Show The Future of AI: Consciousness and Ethical Dilemmas
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Oct 15, 2024 
Terry Sejnowski, a pioneering computational neuroscientist and Francis Crick Chair at The Salk Institute, discusses the fascinating intersection of AI and human cognition. He probes whether large language models truly understand language or merely reflect human intelligence. Exploring AI's evolution, Sejnowski emphasizes the need for robust definitions and mathematical foundations. He also addresses the ethical dilemmas of AI, such as alignment with human values, biases, and the consequences of superintelligent systems, urging a careful approach to AI development.
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Engineers' Role in Deep Learning
- Engineers, not mathematicians or physicists, drove the development of deep learning.
- Similar to the steam engine's development, engineers built it through trial and error.
H-Infinity Control Theory
- John Doyle's H-Infinity robust control theory, initially rejected by academics, became essential for aircraft like the 777.
- This highlights how practical engineering solutions often precede theoretical understanding.
Trial and Error in the Automobile Industry
- The automobile industry's trial-and-error approach, contrasted with the zero-tolerance policy in nuclear power, led to many incremental improvements.
- SpaceX also uses a similar approach.