AI can be considered creative in the eyes of humans, as it can generate text and images that appear new and innovative. However, this creativity is limited because it relies on patterns and elements that were created by humans before. While AI models like Chachi PT can interpolate existing information and remix it in a creative way, extrapolating to entirely new and original ideas is much more challenging. The use of AI in educational settings raises concerns about overreliance and lack of learning. While humans may rely on AI tools like Chachi PT, it is important to ensure that humans continue to engage in intellectually stimulating activities. While it is possible that computers may catch up in the future, for now, truly creative and exceptional human beings still have unique abilities that go beyond what AI can achieve. AI models like Dali AI may excel in certain artistic tasks, but there are abstract and conceptual aspects of creativity that they struggle with. AI is primarily skilled at interpolation rather than truly innovative extrapolation, as it operates based on what it has seen in the training data.
Over the last year, AI large-language models (LLMs) like ChatGPT have demonstrated a remarkable ability to carry on human-like conversations in a variety of different concepts. But the way these LLMs "learn" is very different from how human beings learn, and the same can be said for how they "reason." It's reasonable to ask, do these AI programs really understand the world they are talking about? Do they possess a common-sense picture of reality, or can they just string together words in convincing ways without any underlying understanding? Computer scientist Yejin Choi is a leader in trying to understand the sense in which AIs are actually intelligent, and why in some ways they're still shockingly stupid.
Blog post with transcript: https://www.preposterousuniverse.com/podcast/2023/08/28/248-yejin-choi-on-ai-and-common-sense/
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Yejin Choi received a Ph.D. in computer science from Cornell University. She is currently the Wissner-Slivka Professor at the Paul G. Allen School of Computer Science & Engineering at the University of Washington and also a senior research director at AI2 overseeing the project Mosaic. Among her awards are a MacArthur fellowship and a fellow of the Association for Computational Linguistics.
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