
Sign up to save your podcasts
Or
Contribute what you can to help Closer To Truth continue exploring the world's deepest questions without the need for paywalls.
Terry Sejnowski offers a nuanced exploration of large language models (LLMs) like ChatGPT and what their future holds. How should we go about understanding LLMs? Do these language models truly understand what they are saying? Or is it possible that what appears to be intelligence in LLMs may be a mirror that merely reflects the intelligence of the interviewer? In this discussion of his book ChatGPT and the Future of AI, Sejnowski, a pioneer in computational approaches to understanding brain function, answers all our urgent questions about this astonishing new technology.
Terrence J. Sejnowski is Francis Crick Chair at The Salk Institute for Biological Studies and Distinguished Professor at the University of California at San Diego. He has published over 500 scientific papers and 12 books, including The Computational Brain with Patricia Churchland. He was instrumental in shaping the BRAIN Initiative that was announced by the White House in 2013, and he received the prestigious Gruber Prize in Neuroscience in 2022.
4.7
233233 ratings
Contribute what you can to help Closer To Truth continue exploring the world's deepest questions without the need for paywalls.
Terry Sejnowski offers a nuanced exploration of large language models (LLMs) like ChatGPT and what their future holds. How should we go about understanding LLMs? Do these language models truly understand what they are saying? Or is it possible that what appears to be intelligence in LLMs may be a mirror that merely reflects the intelligence of the interviewer? In this discussion of his book ChatGPT and the Future of AI, Sejnowski, a pioneer in computational approaches to understanding brain function, answers all our urgent questions about this astonishing new technology.
Terrence J. Sejnowski is Francis Crick Chair at The Salk Institute for Biological Studies and Distinguished Professor at the University of California at San Diego. He has published over 500 scientific papers and 12 books, including The Computational Brain with Patricia Churchland. He was instrumental in shaping the BRAIN Initiative that was announced by the White House in 2013, and he received the prestigious Gruber Prize in Neuroscience in 2022.
1,540 Listeners
2,080 Listeners
14,995 Listeners
807 Listeners
476 Listeners
303 Listeners
1,038 Listeners
908 Listeners
4,115 Listeners
2,295 Listeners
493 Listeners
446 Listeners
370 Listeners
490 Listeners
198 Listeners