Francois Chollet, AI researcher and creator of Keras, dives into the 2024 ARC-AGI competition, revealing an impressive accuracy jump from 33% to 55.5%. He emphasizes the importance of combining deep learning with symbolic reasoning in the quest for AGI. Chollet discusses innovative approaches like deep learning-guided program synthesis and the need for continuous learning models. He also highlights the shift towards System 2 reasoning, reflecting on how this could transform AI's future capabilities and the programming landscape.

Francois Chollet, a leading AI expert and creator of ARC-AGI, dives into the nature of intelligence and consciousness. He argues that true intelligence is about adapting to new situations, contrasting it with current AI's memory-based processes. Chollet introduces his 'Kaleidoscope Hypothesis,' positing that complex systems stem from simple patterns. He explores the gradual development of consciousness in children and critiques existing AI benchmarks, emphasizing the need for understanding intelligence beyond mere performance metrics.

Experts Francois Chollet and Mike Knoop discuss why LLMs won't lead to AGI and introduce a $1 million ARC-AGI Prize. Topics include the ARC benchmark, skill vs intelligence, AI progress, and possible solutions to the ARC Prize.

This video is demonetised on music copyright so we would appreciate support on our Patreon! https://www.patreon.com/mlst  We would also appreciate it if you rated us on your podcast platform.  YT: https://youtu.be/_KVAzAzO5HU Panel: Dr. Tim Scarfe, Dr. Keith Duggar Guests: Prof. J. Mark Bishop, Francois Chollet, Prof. David Chalmers, Dr. Joscha Bach, Prof. Karl Friston, Alexander Mattick, Sam Roffey The Chinese Room Argument was first proposed by philosopher John Searle in 1980. It is an argument against the possibility of artificial intelligence (AI) – that is, the idea that a machine could ever be truly intelligent, as opposed to just imitating intelligence. The argument goes like this: Imagine a room in which a person sits at a desk, with a book of rules in front of them. This person does not understand Chinese. Someone outside the room passes a piece of paper through a slot in the door. On this paper is a Chinese character. The person in the room consults the book of rules and, following these rules, writes down another Chinese character and passes it back out through the slot. To someone outside the room, it appears that the person in the room is engaging in a conversation in Chinese. In reality, they have no idea what they are doing – they are just following the rules in the book. The Chinese Room Argument is an argument against the idea that a machine could ever be truly intelligent. It is based on the idea that intelligence requires understanding, and that following rules is not the same as understanding. in this detailed investigation into the Chinese Room, Consciousness and Syntax vs Semantics, we interview luminaries J.Mark Bishop and Francois Chollet and use unreleased footage from our interviews with David Chalmers, Joscha Bach and Karl Friston. We also cover material from Walid Saba and interview Alex Mattick from Yannic's Discord.  This is probably my favourite ever episode of MLST. I hope you enjoy it!  With Keith Duggar.  Note that we are using clips from our unreleased interviews from David Chalmers and Joscha Bach -- we will release those shows properly in the coming weeks. We apologise for delay releasing our backlog, we have been busy building a startup company in the background. TOC:  [00:00:00] Kick off [00:00:46] Searle [00:05:09] Bishop introduces CRA [00:00:00] Stevan Hardad take on CRA  [00:14:03] Francois Chollet dissects CRA [00:34:16] Chalmers on consciousness [00:36:27] Joscha Bach on consciousness [00:42:01] Bishop introduction [00:51:51] Karl Friston on consciousness [00:55:19] Bishop on consciousness and comments on Chalmers  [01:21:37] Private language games (including clip with Sam Roffey) [01:27:27] Dr. Walid Saba on the chinese room (gofai/systematicity take) [00:34:36] Bishop: on agency / teleology [01:36:38] Bishop: back to CRA [01:40:53] Noam Chomsky on mysteries  [01:45:56] Eric Curiel on math does not represent [01:48:14] Alexander Mattick on syntax vs semantics Thanks to: Mark MC on Discord for stimulating conversation, Alexander Mattick, Dr. Keith Duggar, Sam Roffey. Sam's YouTube channel is https://www.youtube.com/channel/UCjRNMsglFYFwNsnOWIOgt1Q

In today's show we are joined by Francois Chollet, I have been inspired by Francois ever since I read his Deep Learning with Python book and started using the Keras library which he invented many, many years ago. Francois has a clarity of thought that I've never seen in any other human being! He has extremely interesting views on intelligence as generalisation, abstraction and an information conversation ratio. He wrote on the measure of intelligence at the end of 2019 and it had a huge impact on my thinking. He thinks that NNs can only model continuous problems, which have a smooth learnable manifold and that many "type 2" problems which involve reasoning and/or planning are not suitable for NNs. He thinks that many problems have type 1 and type 2 enmeshed together. He thinks that the future of AI must include program synthesis to allow us to generalise broadly from a few examples, but the search could be guided by neural networks because the search space is interpolative to some extent. https://youtu.be/J0p_thJJnoo Tim's Whimsical notes; https://whimsical.com/chollet-show-QQ2atZUoRR3yFDsxKVzCbj