Dennis Yi Tenen, Associate Professor of English and Comparative Literature, discusses the hidden history of modern machine intelligence influenced by medieval poetry and Russian folktales. They explore similarities in folk tales across cultures and the impact of high-definition televisions on perception. They challenge the misconception of technology as independent, discuss limitations of language models, and emphasize the importance of historical context in understanding technology. They also reflect on nostalgia in music and desire to produce Jesus Christ Superstar in Moldovan.
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Quick takeaways
Technology is a type of cooperation with other people and simple technologies take centuries to perfect through collaborative efforts.
Machines cannot possess ethics or morality, and ethics are human constraints placed upon machines.
Intelligence, once universally adopted, becomes ordinary and commodified, while human intelligence continues to evolve and rise above new technological capabilities.
Deep dives
Collaborative nature of technology
Technology is a type of cooperation with other people. Simple technologies, like dictionaries, have taken centuries to perfect with the collaborative effort of countless individuals.
Machines cannot have ethics
Machines cannot possess ethics or morality. Ethics are human constraints placed upon machines, and it is impossible for machines to make ethical decisions or understand complex human values.
Intelligence rises above technology
Intelligence, once universally adopted, becomes ordinary and commodified. What was once considered intelligent becomes easily accessible and cheap due to advancements in technology. Human intelligence continues to evolve and rise above new technological capabilities.
The Role of History in Understanding AI
The podcast explores the importance of historical context in understanding the development and implications of AI. The guest speaker emphasizes that analyzing the past helps to demystify technology and sheds light on the social and human aspects of AI. Examining historical examples, such as the impact of automation on job loss, highlights the need for a more nuanced conversation around AI, beyond abstract notions of consciousness and agency.
Language Models and the Limitations of AI
The podcast delves into the limitations of language models used in AI systems. The guest speaker highlights the use of statistical probabilities in generating responses, rather than true understanding or knowledge. This leads to instances where AI models provide incorrect or nonsensical answers based on prior associations. The conversation also touches on the role of human labor in AI processes, such as content filtering, and the often hidden ethical implications of relying on AI systems.
Associate Professor of English and Comparative Literature at Columbia University and author of the forthcoming Literary Theory For Robots Dennis Yi Tenen shares the hidden history of modern machine intelligence — which has more to do with medieval poetry and Russian folktales than the myths being told by those in Silicon Valley.
Dennis Yi Tenen is an associate professor of English and Comparative Literature at Columbia University. His research happens at the intersection of people, text, and technology. A long-time affiliate of Columbia’s Data Science Institute and formerly a Microsoft engineer and a Berkman Center for Internet and Society Fellow, his code runs on millions of personal computers worldwide.
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