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This is a clip from a conversation with Francois Chollet on the Artificial Intelligence podcast from Sep 2019. You can watch the full conversation here: http://bit.ly/2O28EyF or listen to it here: https://lexfridman.com/francois-chollet/ and subscribe on your podcast app. You can watch other clips on the clips playlist: http://bit.ly/2JYkbfZ or full episodes on the full episode playlist: http://bit.ly/2EcbaKf Please note, I select clips with insights from these much longer conversation with the hope of helping make ideas from the podcast more accessible and discoverable. Ultimately, this podcast is a small side hobby for me with the goal of sharing and discussing ideas. For now, I post a clip every day when there is not a full length video. I did a poll and 92% of people either liked or loved the posting of daily clips, 2% were indifferent, and 6% hated it, some suggesting that I post them on a separate YouTube channel. I hear the 6% and partially agree, so am torn about the whole thing. I tried creating a separate clips channel but the YouTube algorithm makes it very difficult for that channel to grow unless the main channel is already very popular. So for a little while, I'll keep posting clips on the main channel. I ask for your patience and to see these clips as supporting the dissemination of knowledge contained in nuanced discussion. If you enjoy it, consider subscribing, sharing, and commenting. Full episode: http://bit.ly/2O28EyF Full episodes playlist: http://bit.ly/2EcbaKf Clips playlist: http://bit.ly/2JYkbfZ Podcast website: https://lexfridman.com/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. Subscribe to this YouTube channel or connect on: - Twitter: https://twitter.com/lexfridman - LinkedIn: https://www.linkedin.com/in/lexfridman - Facebook: https://www.facebook.com/lexfridman - Instagram: https://www.instagram.com/lexfridman - Medium: https://medium.com/@lexfridman - Support on Patreon: https://www.patreon.com/lexfridman
François Chollet discusses the nature of intelligence, emphasizing that all intelligence, including human intelligence, is specialized. He explains how human intelligence is tailored to the human experience, showcasing innate knowledge and the ease of learning certain skills, like language. Chollet highlights the limitations of human intelligence, particularly in long-term problem-solving.
"can you try to define intelligence like what does it mean to be more or less intelligent is it completely coupled to a particular problem or is there something a little bit more universal yeah I do be..."
Chollet elaborates on how human intelligence is not solely an individual trait but is enhanced through civilization, which acts as a collective problem-solving system. He argues that civilization, supported by infrastructure like books and the internet, can tackle larger problems than any single human brain, likening it to an artificial intelligence system.
"and we are specialized in solving certain kinds of problem and we are quite useless when it comes to other kinds of problems for instance we we are not really designed to handle very long term problem..."
In this segment, Chollet explores the concept of intelligence across different scales, from individual humans to bacteria and even the Earth as a single organism. He challenges the traditional view of intelligence as a hierarchical structure centered around the brain, advocating for a more integrated understanding of intelligence as a system that includes externalized cognition.
"capable of handling problems on the on a much greater scale than any individual human if you look at some computer science for instance that's an institution that solves problems and it's it is super ..."
Chollet discusses the idea of recursively self-improving intelligence systems, using science as a prime example. He argues that science functions as a superhuman problem-solving system that evolves and improves over time, feeding into technology and enhancing our understanding of the world. This segment raises questions about the future of AI and its potential to mirror this scientific progress.
"and we're here at Google there is millions of devices doing computation just in a distributed way how do you think what intelligence there's a scale you can always characterize anything as a system ri..."