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I started using uv for my Colab notebooks as well.

Even shorter.

Asked Grok 3 to explain Bell's theorem. It gets it wrong just like all other LLMs I have asked because it just repeats confused stuff that has been written elsewhere rather than looking at the actual theorem.

One feature in torch-sim i'm especially excited about is the HotSwappingAutoBatcher. Docs: lnkd.in/g6mYv7MA. Here's a diagram to explain how it works: it takes a list of pymatgen or ASE Structures and a machine learning potential and relaxes them all in parallel chunks,

TorchSim v0.2 is out! github.com/Radical-AI/tor… I am especially happy to have 5 new contributors and 3 new model interfaces. Below, a sneak peek of a WIP figure describing TorchSim's approach to memory estimation.

Ah, all the artifacts were fixed by replacing one '<' with '<=', duh. It all works now, particle life completely on WebGPU! There are 2^18 (~260k) particles here; my PC struggles after about half a million particles. Will probably try to optimize it a bit later.

New blog post: How chaotic is chaos? How some AI for Science / SciML papers are overstating accuracy claims. stochasticlifestyle.com/how-chaotic-is… #julialang #sciml #chaos #ergodic #ai4science

Two updates to share, one personal and one about open source which I'm very excited about! Personal: My days in NYC are over. 4 weeks ago, Radical AI and I parted ways. Since then, I've gone into full hermit mode working on MatterViz (github.com/janosh/matterv…).