Google's new AI weather model leaves no excuse to forget your umbrella
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| Source: TechCrunch | Original article
Google's new WeatherNext 3 AI model will power weather data in Search, Maps and Gemini, promising more accurate forecasts.
Google has unveiled WeatherNext 3, the newest iteration of its AI‑driven weather suite, and says the model will soon power the forecasts shown in Search, Google Maps, Gemini and Pixel phones. Built on deep‑learning techniques, WeatherNext 3 follows a string of Google DeepMind models that have already demonstrated the ability to predict cyclones up to two weeks before landfall and to outperform the world’s most accurate traditional forecasting system.
The rollout marks a shift from conventional numerical weather prediction toward data‑heavy neural networks that can ingest massive historical and real‑time observations. By embedding the model directly into consumer‑facing services, Google aims to deliver hyper‑local, timely alerts that could reduce missed rain warnings and improve safety during extreme events. The move also underscores the growing commercial relevance of AI in meteorology, a field long dominated by government agencies and specialized research institutions.
Google’s announcement comes alongside the open‑source release of GenCast, another AI weather model from the company, signalling a broader strategy to accelerate research through community collaboration. The integration of WeatherNext 3 into everyday products will give users immediate access to forecasts that were previously confined to specialist platforms.
What to watch next: Google has not detailed the exact timeline for the model’s deployment, so observers will be looking for the first updates in Search and Maps. Developers will monitor the open‑source GenCast code for potential enhancements or new applications, while meteorologists will assess how WeatherNext 3’s predictions compare with established models in real‑world events. Finally, regulators may scrutinise the reliability of AI‑generated forecasts as they become a public utility, especially in regions prone to severe weather.
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