Introducing: Climate in a Bottle Our new AI-powered tool lets users explore the climate system interactively. Set the season, ocean temperature, time of day—and generate high-resolution climate states instantly.
SUSTAINABILITY
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AI Climate Simulators Achieve 20-100x Speed Gains
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AI-powered climate simulators run 20–100x faster, delivering higher resolution and richer insights, without compromising accuracy.
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AI Transforms Climate Data Into Precise, Actionable Forecasts
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What’s changing? Sharper forecasts of climate change Better modeling of extreme weather Real-time, interactive prediction tools AI turns low-res, blurry climate data into precise, actionable intel.
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AI Transforming Climate Science and Weather Forecasting
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How is AI transforming climate science and weather forecasting?
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Using AI Agents for Sustainable Mapping and Impact Tracking
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3) Sustainability Discovery Map
— God of Prompt (@godofprompt) 23 juillet 2025
I said, "Show me zero-waste stores nearby."
What I got: filterable local maps, carbon footprint calculator, photo-verified listings, eco-badges, and an impact tracker.
Like Google Maps if it cared about saving the planet. pic.twitter.com/IMDk8GtcKs3) Sustainability Discovery Map I said, "Show me zero-waste stores nearby." What I got: filterable local maps, carbon footprint calculator, photo-verified listings, eco-badges, and an impact tracker. Like Google Maps if it cared about saving the planet.
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Energy Efficiency Considerations in Technology Usage
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it could but probably not energy-efficiently, so you're not going to use it.
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xAI Colossus 2 Data Center: 550K NVIDIA GPUs in Tennessee
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xAI gave a glimpse of its Colossus 2 data center in Tennessee The facility will be powered by 550K NVIDIA GB200 and GB300 GPUs, using various energy sources Musk said the goal is to bring AI compute equivalent of 50M units of Nvidia’s H100 online in 5 years
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OpenAI Reports ChatGPT Energy Consumption Per Prompt
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(OpenAI reported 1/15 teaspoon in a blog post for a typical prompt for ChatGPT) Here is the report:
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Training vs Inference Impact Differentiation in AI
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I would be very interested to understand the difference in impact between training and inference, for example – these numbers bundle those together
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AI Lab Details Environmental Impact Numbers Analysis
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First time I've seen a large AI lab break down the environmental impact numbers in this level of detail