For anyone building weather-related AI apps, I am releasing an exciting iteration on last year’s model.
My Groundhog API is trained on 130 years of data and makes use of 82 separate data sources. Similar to DeepSeek, it is completely open source and free to use.
The primary use case is to make inferences about whether spring will come early or not, using a Mixture of Exports (MoE) approach, but surely others can be found if you are creative.
Other use cases: - All predicting groundhogs - Where they all live - Whether they are “real” groundhogs or imposters
Excited to see what people do with it!
Comments URL: https://news.ycombinator.com/item?id=42910105
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Have you gone back to in-person whiteboards? More focus on practical problems? I really have no idea how the traditional tech interview is supposed to work now when problems are trivially solvable
Article URL: https://www.theguardian.com/
Article URL: https://arxiv.org/abs/2412.05265
Comments URL: https://news.ycombinator.c
