Promises and Lies of ChatGPT - understanding how it works | Subbarao Kambhampati

Jay Shah Podcast

Dr. Subbarao Kambhampati is a Professor of Computer Science at Arizona State University and the director of the Yochan lab where his research focuses on decision-making and planning, specifically in the context of human-aware AI systems. He has been named a fellow of AAAI, AAAS, and ACM in recognition of his research contributions and also received a distinguished alumnus award from the University of Maryland and IIT Madras.
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00:00:00 Highlights and Intro
00:02:16 What is chatgpt doing?
00:10:27 Does it really learn anything?
00:17:28 Chatgpt hallucinations & getting facts wrong
00:23:29 Generative vs Predictive Modeling in AI
00:41:51 Learning common patterns from Language
00:57:00 Implications in society
01:03:28 Can we fix chatgpt hallucinations?
01:26:24 RLHF is not enough
01:32:47 Existential risk of AI (or chatgpt)
01:49:04 Open sourcing in AI
02:04:32 OpenAI is not "open" anymore
02:08:51 Can AI program itself in the future?
02:25:08 Deep & Narrow AI to Broad & Shallow AI
02:30:03 AI as assistive technology - understanding its strengths & limitations
02:44:14 Summary
Articles referred to in the conversation
https://thehill.com/opinion/technology/3861182-beauty-lies-chatgpt-welcome-to-the-post-truth-world/
More about Prof. Rao
Homepage: https://rakaposhi.eas.asu.edu/
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About the Host:
Jay is a Ph.D. student at Arizona State University.
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