On the Measure of Intelligence (Introduction)

This video will present some of the ideas in "On the Measure of Intelligence". I think it's really interesting to think of the scale of generalization from absent, local, broad, to extreme generalization. I think local to broad will quickly become the same idea with the use of data augmentation and generative models. Extreme generalization seems highly ambitious, but I think something like POET at least puts an actionable framework together to think about it. The video will also briefly mention human prior knowledge, the cognitive hierarchy, and benchmarks in AI. Thanks for watching! Please Subscribe! Please also check out Yannic Kilcher's part 1 series on this paper and be on the lookout for Tim's overview of this on "Machine Learning Dojo with Tim Scarfe". We will be releasing our discussion of the paper on Machine Learning Street Talk very soon. Paper Links: On the Measure of Intelligence: https://arxiv.org/pdf/1911.01547.pdf Yannic Kilcher Part 1: Foundations: /watch/YQi6DmrGq_3G6 DermGAN: https://arxiv.org/pdf/1911.08716.pdf On the Steerability of GANs: https://arxiv.org/pdf/1907.07171.pdf POET: https://arxiv.org/pdf/1901.01753.pdf AI-GAs: https://arxiv.org/pdf/1905.10985.pdf Animal AI Olympics: http://animalaiolympics.com/AAI/ Thanks again for watching!

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