ancestor in training. climate, weather and ai soufflé @GoogleAI. founder, former authority-ish figure @adroll. words are my own.

San Francisco
Joined March 2008
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Today, we launched WeatherNext 3, the most accurate and advanced model, according to OWB evaluations. A few years ago, the question was can ML models match traditional forecasting. Now we're asking— what can AI do that traditional methods can't? blog.google/innovation-and-a…
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Aaron Bell retweeted
Today @GoogleDeepMind and @GoogleResearch are introducing WeatherNext 2, our most advanced and efficient forecasting model. WeatherNext 2 can generate forecasts 8x faster and provide hundreds of possible weather outcomes for more accurate forecasts.
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WeatherNext has made the leap from the lab to reality, with technology now powering forecasts in popular Google products like Search, Gemini, Pixel Weather, and Maps Platform. The forecasts are also available across Cloud. A hearty shout-out to colleagues pushing the frontier.
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A sequel better than the original! @GoogleDeepMind & @GoogleResearch are introducing WeatherNext 2, an advanced AI-based 15-day weather forecast. Our new model novelly produces ensembles to give users a fuller and more accurate picture. blog.google/technology/googl…
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Seeing Earth AI come to life feels 'full circle'. 20 years ago, I received a small NASA grant for EarthTutor, to use AI to bring satellite data to the public. While EarthTutor is kaput, the spirit lives on at incredible scale. Kudos to my many colleagues & my teams who took part
Sundar Pichai
@sundarpichai23 Oct 2025
Google Earth AI, our collection of geospatial AI models and datasets, is expanding globally and adding new capabilities. That includes Geospatial Reasoning, powered by Gemini, which automatically connects different Earth AI models - like weather forecasts, population maps + satellite imagery - to answer complex questions.  We’re also bringing new Earth AI models to Gemini capabilities in Google Earth, which make it easy to instantly find objects and discover patterns from satellite imagery. For example, analysts could spot harmful algae blooms that could impact drinking water supply, and issue warnings.
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Aaron Bell retweeted
Sundar Pichai
@sundarpichai23 Oct 2025
Google Earth AI, our collection of geospatial AI models and datasets, is expanding globally and adding new capabilities. That includes Geospatial Reasoning, powered by Gemini, which automatically connects different Earth AI models - like weather forecasts, population maps + satellite imagery - to answer complex questions.  We’re also bringing new Earth AI models to Gemini capabilities in Google Earth, which make it easy to instantly find objects and discover patterns from satellite imagery. For example, analysts could spot harmful algae blooms that could impact drinking water supply, and issue warnings.
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Aaron Bell retweeted
Read how work by @UChicago, building on the AI-based NeuralGcM weather model developed & open-sourced by @GoogleResearch, is being used to more accurately predict the monsoon season in India and support farmer decision-making for 38M farmers in India. 🌱 blog.google/technology/resea…
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Aaron Bell retweeted
Our work on AI to improve cyclone prediction is likely to be quite impactful & save lives. We've been partnering w/ @NWSNHC, @metoffice & others for testing. This builds on years of work on improving general weather prediction using AI from @GoogleDeepMind & @GoogleResearch.
We’re using AI to improve cyclone prediction. 🌀 Introducing Weather Lab: a new interactive platform developed with @GoogleResearch, hosting our experimental AI weather model which can predict a cyclone’s track, intensity, size and structure. Here’s how it works. 🧵
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We’ve hit a major milestone: a new ML weather model that can predict cyclone tracks & intensity with promising early results! Our teams at Google DeepMind and Google Research have put in true Cat5 🌀 effort... more to come...
Excited to announce our new experimental cyclone model and a partnership with @NHC_Atlantic! Traditionally, it's been hard for a model to predict tracks & intensities: one requires a global view, the other very high resolution. Our AI model achieves strong performance on both.
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Aaron Bell retweeted
Great to see AI-based weather prediction being rolled out across Africa. This is important because traditional weather forecasts rely much more on ground-based radar, and in Africa, there simply aren't enough to give high quality traditional forecasts. blog.google/intl/en-africa/p…
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