nai @src_term
Gradients are all you need - ML x Fluids - All opinions are my own. Joined June 2025-
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MoE on physics-based surrogate models, this is interesting
MoE on physics-based surrogate models, this is interesting
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nai retweeted
The #official User Guide for #OpenFOAM v13 is freely available online in easy-to-read format. Bookmark the page: doc.cfd.direct/openfoam/user-…
Openai is going hard on getting people to switch from CC.
Openai is going hard on getting people to switch from CC.
Tons of environments to benchmark on. Particularly interested in how the current frontier is performing on physics-based tasks/derivations on PHYbench. Gemini 2.5 pro was sota in their tests. arxiv.org/pdf/2504.16074
Tons of environments to benchmark on. Particularly interested in how the current frontier is performing on physics-based tasks/derivations on PHYbench. Gemini 2.5 pro was sota in their tests. arxiv.org/pdf/2504.16074 https://t.co/nUHXx5fdtb
nai retweeted
Saying that deep learning is "just a bunch of matrix multiplications" is about as informative as saying that computers are "just a bunch of transistors" or that a library is "just a lot of paper and ink." It's true, but the encoding substrate is the least important part here.…
nai retweeted
Nous Research presents Hermes 4, our latest line of hybrid reasoning models. hermes4.nousresearch.com Hermes 4 builds on our legacy of user-aligned models with expanded test-time compute capabilities. Special attention was given to making the models creative and interesting to…
nai retweeted
Don't be tough with the baseline. There was a time when it was sota, it was glorious. Show respect.
nai retweeted
📢 PRFluids Editors' suggestion: A new data-driven method simultaneously infers flow fields and obstacle shapes from sparse measurements in steady-state supersonic flows. By optimizing a discrete loss with JAX-Fluids, it achieves accurate, robust results. go.aps.org/46POGQ8
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