Multimodal and multitask models are machine learning models that can generalize. Multimodal models can generalize to understand different types of input, for example images and text. Multitask models can generalize their knowledge by applying what they’ve learned about one task to solve another task.Links/Resources: • MUM: https://blog.google/products/search/introducing-mum/ • Gato: https://www.youtube.com/watch?v=wSQJZHfAg18 • MIA: https://www.youtube.com/watch?v=L9kA8nSJdYw • Flamingo: https://www.deepmind.com/blog/tackling-multiple-tasks-with-a-single-visual-language-model • Flamingo explaining a funny photo: https://twitter.com/MelMitchell1/status/1522642194741538817 • Is LaMDA Sentient?: https://cajundiscordian.medium.com/is-lamda-sentient-an-interview-ea64d916d917Chapters:0:00 Intros2:33 Multimodal and Multitasks Models6:50 Deepmind's Gato: The All-Rounder Athlete14:43 Google's MUM: The Search Assistant18:12 Deepmind's Multimodal Interactive Agent: The Domestic Helper22:31 Deepmind's Flamingo: Reasoning about Pictures26:45 Why are these mind-blowing?31:20 Machine Learning has come a looooong way35:21 Could Flamingo be the real JARVIS?38:56 Could MIA assist the elderly? 43:05 Multimodal AI for self driving cars51:15 Multitask = A Shared Brain That Learns Everything1:00:19 Could these models transcend human knowledge?1:08:50 Breaking news: AI models are sentient1:10:37 Is this just a local maximum or a path to AGI?1:11:50 Outros===== About “The Technium” =====The Technium is a weekly podcast discussing the edge of technology and what we can build with it. Each week, Sri and Wil introduce a big idea in the future of computing and extrapolate the effect it will have on the world.Follow us for new videos every week on web3, cryptocurrency, programming languages, machine learning, artificial intelligence, and more!===== Socials =====WEBSITE: https://technium.transistor.fm/ SPOTIFY: https://open.spotify.com/show/1ljTFMgTeRQJ69KRWAkBy7 APPLE PODCASTS: https://podcasts.apple.com/us/podcast/the-technium/id1608747545

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