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Monday, 19 October 2026 Sign in

WeatherNext 3

Model ● Covered in 5 stories + Follow

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Specifications

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Latest developments

Google DeepMind’s WeatherNext 3 Trains on Weather Station Observations to Deliver 5 km Global Forecasts, Refreshed Every Hour MarkTechPost · 1 month ago · 3

Introducing WeatherNext 3, our most advanced and accurate global weather AI model Google · 1 month ago · 21

Google’s latest AI weather model gives you no excuse to forget your umbrella TechCrunch · 1 month ago · 44

Google says its AI weather model is getting better The Verge · 1 month ago · 39

WeatherNext 3 Product Hunt · 1 month ago · 5

Timeline

Month Quarter Year

September 2026

Google DeepMind and Google Research introduced WeatherNext 3, an updated AI model for global weather forecasting that refreshes hourly using real-time satellite observations Model release

Relationships

Products & technology

Google DeepMind develops this model · 3 sources
Integrated with Maps · 2 sources
Google Research develops this model · 2 sources
Integrated with Search · 1 source
Integrated with Gemini · 1 source
Integrated with Maps · 1 source
Integrated with Operational WeatherBench · 1 source
Derived from WeatherNext 2 · 1 source
Deploys Google Search · 1 source
Deploys Google Maps · 1 source
Integrated with Google Search · 1 source
Integrated with Gemini · 1 source

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TLDRocket 19 October 2026

Agentic AI is leaving the lab and heading straight into the messy parts of work—then running into the equally messy parts of security. Atlassian’s “Agentic Multiplayer Protocol” is built around attribution, showing agent contributions in document history so accountability stays with the user, not “the AI did it.” That governance impulse is echoed elsewhere as teams try to treat agents like managed services instead of novelty software: Pax8’s 8os lets IT partners govern multiple vendors’ agents with per-customer separation and hard usage caps, while Motive Technologies pushes fleet automation from passive alerts to autonomous actions, pitching faster ROI through fewer preventable operational problems. Even property management is getting the agent layer, with Vessla aiming to coordinate leasing and building operations while keeping human approval for judgment calls.

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