Building a global weather forecasting system is a litmus test for AI coding ability.
This is a vibe coding post classified by Jev as Coding agents (a showcase), kept by the Vibe Coding Radar because it carries real work, not commentary.
Building a global weather forecasting system is a litmus test for AI coding ability. We did it — in a restricted environment with no web search: 🧠 Designed a ViT-backbone neural network with 400M+ parameters, trained over 45,000 steps to model 69 weather variables evolving over time ⚡ Predicts a full week of global weather in under 1 minute 📊 Surpasses NVIDIA's classic FourCastNet on several metrics — with less training data A research agent turning a research question into a runnable, verifiable experiment. And this is just the beginning. Coming soon. 🚀
Posted by Atria ASI (6.4k followers) 6 days ago · 96 likes · 40.9k views · view the original post on X. Kept by the Vibe Coding Radar as Coding agents.
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