Dr. Murray Shanahan is a professor of Cognitive Robotics at Imperial College London in the Department of Computing, and Senior Research Scientist at Google DeepMind. His research centers around artificial intelligence, robotics, and cognitive science.
"By now you’ve probably heard about the chatbot called ChatGPT. There’s no question it’s something of a marvel. It distills complex information into clear prose; it offers instructions and suggestions; it reasons its way through problems. With the right prompting, it can even mimic famous writers. And it does all this with an air of cool competence, of intelligence. But, if you’re like me, you’ve probably also been wondering: What’s really going on here? What are ChatGPT — and other large language models like it — actually doing? How much of their apparent competence is just smoke and mirrors? In what sense, if any, do they have human-like capacities?
My guest today is the author of numerous articles and several books at the lively intersections of artificial intelligence, neuroscience, and philosophy. Very recently, Dr. Shanahan put out a paper titled ‘Talking about Large Language Models’, and it’s the focus of our conversation today. In the paper, he argues that — tempting as may be — it’s not appropriate to talk about large language models in anthropomorphic terms. Not yet, anyway.
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