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A Genuine Conversation on Artificial Intelligence with Richard Hughes Gibson
Manage episode 442251217 series 3541400
Enoch Hill and Tim Taylor, Enoch Hill, and Tim Taylor에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Enoch Hill and Tim Taylor, Enoch Hill, and Tim Taylor 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
Richard Hughes Gibson, a Professor of English at Wheaton College, joins Enoch and Tim to discuss the history and impact of artificial intelligence (AI) on society. How is AI distinct from other technological advances and how will it shape the course of history? Professor Gibson has written extensively on the topic and shares his insights as well as assuages fears for an imminent apocalypse.
If you want to read Dr. Gibson on the intellectual origins of today’s text generators, try his article “Language Machinery” that ran in Hedgehog Review last fall (not currently paywalled):
https://hedgehogreview.com/issues/markets-and-the-good/articles/language-machinery
Gibson’s shorter essay on “The New Verbal Economy” is also available on the Hedgehog website:
https://hedgehogreview.com/web-features/thr/posts/the-new-verbal-economy
If you are looking for an accessible introduction to the history of AI research and development, get a copy of Michael Wooldridge’s _A Brief History of Artificial Intelligence_(2021). It was published before the public debut of ChatGPT, so it is already(!) a little bit out of date. But Wooldridge tells the back story of AI exceptionally well, and he *does* include a great chapter on deep learning and the company DeepMind toward the end that is very helpful for understanding current state of machine learning.
If you want an accessible introduction to the breakthrough behind today’s writing machines, so-called “large language models,” try Cal Newport’s article for The New Yorker “What Kind of Mind Does ChatGPT Have?”.
Some tech writers for The New York Times built an imitation of ChatGPT, called BabyGPT, that offers an illuminating window into how the “prediction engines” inside these bots improve by testing themselves in training. You need to get over the paywall here; but it’s worth the effort.
https://www.nytimes.com/interactive/2023/04/26/upshot/gpt-from-scratch.html
Credits: Drew Elliot (music) with additional thanks to the Wheaton Center for Faith, Politics & Economics.
Recording Date: 19 September 2024
21 에피소드
공유
