Intelligence Lies Beyond Precise Programming

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True intelligence is not present in rigidly programmed systems that rely solely on the programmer's foresight to address tasks and edge cases without accommodating novelty. Such systems may be labeled as AI, yet they lack the adaptive thinking that characterizes genuine intelligence. In contrast, learning systems exhibit some level of intelligence as they tackle new problems independently. However, popular machine learning methods primarily focus on curve fitting and exhibit low efficiency and intelligence due to their reliance on extensive data for minimal performance improvement.

Which is more intelligent, ChatGPT or a 3-year old? Of course this depends on what we mean by "intelligence." A modern LLM is certainly able to answer all sorts of questions that require knowledge far past the capacity of a 3-year old, and even to perform synthetic tasks that seem remarkable to many human grown-ups. But is that really intelligence? François Chollet argues that it is not, and that LLMs are not ever going to be truly "intelligent" in the usual sense -- although other approaches to AI might get there.

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Blog post with transcript: https://www.preposterousuniverse.com/podcast/2024/06/24/280-francois-chollet-on-deep-learning-and-the-meaning-of-intelligence/

François Chollet received his Diplôme d'Ingénieur from École Nationale Supérieure de Techniques Avancées, Paris. He is currently a Senior Staff Engineer at Google. He has been awarded the Global Swiss AI award for breakthroughs in artificial intelligence. He is the author of Deep Learning with Python, and developer of the Keras software library for neural networks. He is the creator of the ARC (Abstraction and Reasoning Corpus) Challenge.

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