World-changing potential: If taken seriously, it could force funders, labs (NCAR, IPCC process, etc.) and journals to halt rushed AI deployment, mandate physics-informed validation + long-timescale testing first, and ultimately deliver far more credible projections — preventing policy disasters (trillions in infrastructure, agriculture, migration planning) built on secretly fragile models, and preserving climate science’s credibility when civilization needs it most. https://medium.com/@ambitionmagician/the-jensen-divergence-quantifying-climate-sciences-accelerating-ai-validation-gap-through-b7b820c3ec66
THE JENSEN DIVERGENCE: Quantifying Climate Science’s Accelerating AI Validation Gap Through…

The “Jensen Divergence” names a dangerous mismatch in climate science: since ~2020, machine-learning/AI methods have flooded into climate…

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