We Turned Down Google's AI Weather Model
Our take: Specific model rejection; useful real-world lesson but narrow scope and audience.
Why Impact & Innovation? We ask two questions of every story: did this actually change something in the real world (Impact), and is the idea genuinely new (Innovation)? Together, that's the TS Score — not engagement, not who posted it, just what matters and what's new.
Kalshi declined to adopt Google's WeatherNext 2 weather model because it had a consistent 5.2°F cold bias on the specific NOAA airport daily highs their contracts settle on, making it systematically wrong for their use case despite superior overall benchmarks.
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