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🎙️ Ever wondered how machine learning is revolutionizing the betting industry? In this episode of #TheFlowShow, I sit down with @joeyslevy, CEO of @betr, to dive into the exciting world of B2B product development and real-time market mechanics! 🚀 Joey shares his vision of creating micro markets and how they leverage odds feeds to enhance the betting experience. Don't miss out on this insightful conversation! 💡 Tune in to episode 211 and discover why the direct consumer opportunity is bigger t
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Here’s everything you need to know 👇 I developed a machine learning model with @Eight Sleep and we just released it today 1️⃣ What data was it built on? This model was built on the largest raw biosignal dataset ever used to train an AI, from any device, including every wearable on the market. 2.04 million hours 136,575 participants 498k sessions 122 million segments 2️⃣ What can it predict? It can predict your biological age (the age your body acts like) within 3.3 years. It also predicts heart
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Is THIS Why Artificial Intelligence Could Turn AGAINST Humanity?! 🤖😳⚠️ Artificial intelligence, AI, AI dangers, AI risks, AI rebellion, AI takeover, AI vs humans, rogue AI, superintelligence, AI safety, AI future, AI warning, AI technology, machine learning, intelligent machines, AI consciousness, AI behavior, AI mistakes, AI comedy, AI cartoon, AI animation, AI satire, AI criticism, human intelligence, AI intelligence, AI evolution, technology risks, future technology, AI development, AI cont
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The study behind this is unusually practical. Dunigan Folk, Mirka Henninger and Elizabeth Dunn at the University of British Columbia took two waves of the American Time Use Survey, more than 15,000 people accounting for how they spent a single day, and used machine learning to find what separated a better-than-typical day from an ordinary one. The thresholds are the useful part. Socializing helped, and then flattened out after about two hours. Work didn't hurt a day until it passed six. Passive
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