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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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Andrej Karpathy was asked how you should hire engineers now. No whiteboard, no algorithm puzzle. His answer was to hand someone a big project and watch. His example: build a Twitter clone for agents. Make it good. Make it secure. Then have agents simulate activity on it so there's real traffic running through the thing. Then comes the part that makes it an interview. He points ten Codex agents at maximum reasoning effort at the site you just deployed and tells them to break it. They shouldn't be
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Most people confuse these three data roles… but they are actually very different. If you're thinking about starting a career in data, analytics or data engineering, understanding these roles can save you years of confusion. Analytics Engineer Analytics Engineers sit between Data Engineers and Data Analysts. Their job is to transform raw data into clean, reliable datasets that analysts and business teams can use. Typical tools: SQL, dbt, data modeling, Snowflake, BigQuery Data Engineer Data Engin
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