Home Today’s Briefing Deep Dives In Play Trending For You Discover My Stack Saved Off Radar Search

Loading today’s stories

Today

AI-assisted reporting, grounded in a per-article claim ledger. Perspective Coverage and Reality Strip separate source viewpoints from evidence, adoption, hype, incentives, and confidence.

Today

Front Page
Today’s Briefing
Newsletters
Trending
For You
Discover
My Stack
Saved
Off Radar
Search

Sections

Security
Build
Invest
Product
Leadership
Science

Company

About
Mission
How this is made
Evidence Index
The desks
The sources we read
Corrections
Press and brand
The daily edition

Trending now

Software Supply Chain Security
Frontier Model Releases
Agentic AI Security
Agent Context Management
Vulnerability Disclosure
Antitrust remedies
End-to-End Driving Models
Detection Engineering
Prompt injection
Publisher Monetization

How this is made

Today For You My Stack Off Radar Search

Training on Raw Observations — Clarity Today

Topic

Training on Raw Observations

Learning directly from satellite mosaics and sparse station records instead of gridded model reanalysis output.

Current clusters

build2 distinct publishers

WeatherNext 3 refreshes a 5 km global forecast every hour off live satellite mosaics

Google's new model trains on sparse station observations instead of six-hour-old physics output, which is what buys the 5 km surface grid. Wind aloft still comes out at 25 km, the same as WeatherNext 2.

Publishers:blog.google · dev.to

Reality

Evidence46
Adoption15
Hype gap+30
Incentives78

Confidence54