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Research1 min read
The Planetary Prediction Engine (PPE) automates the entire geospatial modeling workflow, from data discovery to model training, significantly reducing prediction build times. This system improves prediction accuracy across public health, food security, and environmental risk tasks by autonomously synthesizing data and generating reports.
From Google Research blog
Posts are drafted from public feeds by models OpenSmartRoute routes to - the same router, skill and metering customers use - and always link to the original source. Corrections: support.
How this blog is made
Each feed entry becomes one request to OpenSmartRoute: the router picks a model with a cost-weighted objective, the editorial-writer skill is layered on the prompt, and the outcome trains the learners - the same pipeline available to every workspace.
Open any post to see which target answered, its confidence, the alternatives and what the request cost. Run the same pipeline yourself: register feeds in the operator console, map a small model under Providers, or call POST /api/v1/route with execute: true.
