At the intersection of weather forecasting, technology, and the unknowable. A scattered mix of academic papers, good books, philosophy, and the human relationship with weather. Hosted by Marshall, Marta, and Alden.
Go big or go home, baby! Scaling laws for AI weather models
It's been a while! But we're making the wait worth it with a deep dive into scaling laws for AI weather models. As Alden put it, "this feels like a huge growing-up moment for the field." We...
3 Apr 2026
Did the Odyssey really happen? The truth of poetry lies in weather
Now, goddess Child of Zeus tell the old story for our modern times. Find the beginning… We are once again looking for the beginning, but not of a model. Instead, we're looking at ancient weather...
4 Feb 2026
Zero-shot forecasting and the nature of time
In this episode, we're covering two papers on zero-shot forecasting: NXAI's TiRex and Amazon's Chronos-2. You may be asking… Is it pronounced tee·rɛks? Is it tye·rɛks? Is it a titan? God of time? Is a...
24 Nov 2025
A taxonomy of bias: sensemaking, heretical physics, and the Tom Hanks/Bill Murray multiverse
Bias has a pretty well-known definition in the world of AI/ML programming. But today’s paper asks us to expand that definition and consider how cultural, organizational, and human forces can intersect...
21 Sept 2025
Determinism is dead, chaos reigns, and the night is long
While staring into uncertainty might sound abyssal and frightening, ensemble models have proven (to us, at least) that this isn’t the case. In today’s episode, we’re exploring two papers with...
27 Jul 2025
NeuralGCM and the Hybrid Approach
Machine learning dominates the conversation, but what will happen to the centuries-old physical equations that built our understanding of the atmosphere? How are the two approaches at odds? How might...
29 Jun 2025
End-to-end data-driven weather prediction
This episode explores Aardvark Weather and delves into the complexities of end-to-end data-driven weather prediction.
11 Jun 2025
The limits of predictability
This episode explores the challenges and boundaries of weather forecasting, examining how far into the future accurate predictions can realistically extend.
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