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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/i... • Gato: • Is Gato Really the Future of AI? • MIA: • DeepMind's New AI: A Spark Of Intelligence! 👌 • Flamingo: https://www.deepmind.com/blog/tacklin... • Flamingo explaining a funny photo: / 1522642194741538817 • Is LaMDA Sentient?: / is-lamda-sentient-an-interview Chapters: 0:00 Intros 2:33 Multimodal and Multitasks Models 6:50 Deepmind's Gato: The All-Rounder Athlete 14:43 Google's MUM: The Search Assistant 18:12 Deepmind's Multimodal Interactive Agent: The Domestic Helper 22:31 Deepmind's Flamingo: Reasoning about Pictures 26:45 Why are these mind-blowing? 31:20 Machine Learning has come a looooong way 35:21 Could Flamingo be the real JARVIS? 38:56 Could MIA assist the elderly? 43:05 Multimodal AI for self driving cars 51:15 Multitask = A Shared Brain That Learns Everything 1:00:19 Could these models transcend human knowledge? 1:08:50 Breaking news: AI models are sentient 1:10:37 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/1ljTFMg... APPLE PODCASTS: https://podcasts.apple.com/us/podcast...