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Growth starts with the team 🤝🩵 “It’s bigger than ourselves. We’re here playing for the person to our left, and to our right.” Madi Scott shares what it takes to keep growing in 3x3: show up ready to learn, embrace every possession, and trust the people around you 🏀✨ #3XBA# #FIBA3X3# #LA28# #WomensBasketball#
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Our WeatherNext 2 AI model from @GoogleDeepMind and @GoogleResearch can predict tropical cyclones with an extra day of lead time. Now, we’re open sourcing the model. Published in @Nature, Google researchers demonstrate how it delivers roughly a decade's worth of weather forecasting progress in a single jump. Here's how it works:
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Matas Buzelis EXPLODED off the ground for this January poster! Where will this rank in our Top Dunks of the Year countdown?? We're rolling out 40-21 today, with the top 10 dropping Saturday 👀
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Our goal is for no Tesla battery to end up in a landfill. Across our US operations, we’re recovering more than 90% of key battery materials like nickel & cobalt from cells that we recycle More details in our 2025 Impact Report
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Predicting cyclones accurately can help save lives - and every hour of lead time counts. Published in @Nature, our AI model WeatherNext achieves state-of-the-art accuracy in forecasting a storm’s track and intensity, giving us a critical extra 24 hours to prepare on average. 🧵
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Terafab will be built in Grimes County, Texas In April, we broke ground on our research fab on the North Campus of Giga Texas – the precursor to Terafab. Both Tesla & SpaceX will need far more chips than current & future global production can supply. This is why we're building the largest chip manufacturing facility ever, with the goal of producing over 1 terawatt of compute per year The future is built in Texas
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Our #Binance# Proof of Reserves (PoR) mechanism allows anyone to check that our user assets are backed 1:1. 🔐 Check out this month's PoR here 👉
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We tried using Meta's new Muse Code agent, but it has a bug that doesn't let it sign in from a docker container. So we did a fun experiment: Meta claims Muse Spark 1.2 was co-trained with their Muse agent harness. So we extracted instructions from their system prompt and added them to the Cline harness. TL;DR of this special prompting: - Trust source code over the user prompt, so read every call site and existing tests before starting the task - Weigh edge and error cases as heavily as the happy path - Always reproduce the bug before fixing - Don't trust the first passing test suite, and verify suspicious looking half-baked tests - Never stop at just editing, keep working until the change is verified complete. We then asked this modified harness to fix a real bug from our repo, and compared the results to the original Cline agent harness. Results: - Used 2.7x fewer tokens (19.7M → 7.2M) - Finished 2x faster (49min → 24min) - Cost 2.4x less ($7.69 → $3.25) Same Muse Spark 1.2 model, same task, only the prompting changed. Incredible how much of a performance gain Meta was able to achieve training it on these special instructions!
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Megapack 3 is officially rolling off the line at our newest Megafactory in Brookshire, Texas! The factory went from groundbreaking to operation in just 16 months & has a designed capacity of 50 GWh/year dedicated to Megapack 3
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