François Chollet questions the true meaning of intelligence, discussing the limitations of large language models in mimicking human thought processes. He explores the evolution of AI approaches, challenges faced by LLMs in providing accurate answers, and the distinction between programmer-structured systems and learning systems. Chollet also delves into the limitations and challenges of LLMs in problem solving, the concept of artificial general intelligence, and democratizing technology with deep learning and Keras.

François Chollet, a pioneering AI researcher known for Keras, critiques Large Language Models and offers insights into advancing AI. He discusses the limitations of LLMs in logical reasoning and emphasizes the need for a new paradigm based on abstraction and generalization. Chollet introduces the Abstraction and Reasoning Corpus as a benchmark for AI progress, advocating for innovations outside major tech labs. He believes breakthroughs will emerge from fresh approaches, urging researchers to rethink the fundamentals of intelligence in AI.

François Chollet is the creator of Keras, which is an open source deep learning library that is designed to enable fast, user-friendly experimentation with deep neural networks. It serves as an interface to several deep learning libraries, most popular of which is TensorFlow, and it was integrated into TensorFlow main codebase a while back. Aside from creating an exceptionally useful and popular library, François is also a world-class AI researcher and software engineer at Google, and is definitely an outspoken, if not controversial, personality in the AI world, especially in the realm of ideas around the future of artificial intelligence. This conversation is part of the Artificial Intelligence podcast. If you would like to get more information about this podcast go to https://lexfridman.com/ai or connect with @lexfridman on Twitter, LinkedIn, Facebook, Medium, or YouTube where you can watch the video versions of these conversations. If you enjoy the podcast, please rate it 5 stars on iTunes or support it on Patreon.

François Chollet is an AI researcher at Google and creator of Keras. Support this podcast by supporting our sponsors (and get discount): – Babbel: https://babbel.com and use code LEX – MasterClass: https://masterclass.com/lex – Cash App: download app & use code “LexPodcast” Episode links: Francois’s Twitter: https://twitter.com/fchollet Francois’s Website: https://fchollet.com/ On the Measure of Intelligence (paper): https://arxiv.org/abs/1911.01547 If you would like to get more information about this podcast go to https://lexfridman.com/podcast or connect with @lexfridman on Twitter, LinkedIn, Facebook, Medium, or YouTube where you can watch the video versions of these conversations. If you enjoy the podcast, please rate it 5 stars on Apple Podcasts, follow on Spotify, or support it on Patreon. Here’s the outline of the episode. On some podcast players you should be able to click the timestamp to jump to that time. OUTLINE: 00:00 – Introduction 05:04 – Early influence 06:23 – Language 12:50 – Thinking with mind maps 23:42 – Definition of intelligence 42:24 – GPT-3 53:07 – Semantic web 57:22 – Autonomous driving 1:09:30 – Tests of intelligence 1:13:59 – Tests of human intelligence 1:27:18 – IQ tests 1:35:59 – ARC Challenge 1:59:11 – Generalization 2:09:50 – Turing Test 2:20:44 – Hutter prize 2:27:44 – Meaning of life

Join François Chollet, Creator of Keras, as he discusses creating Keras 3, integrating it with Gemma and Kaggle, artificial general intelligence, and the limitations of large language models in achieving human-level AI.