it could but probably not energy-efficiently, so you're not going to use it.
@soumithchintala
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Scaling AI Evaluation: Building Meaningful Benchmarks from Single GPU
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coming up with evals that start at 1-gpu but are meaningful at eventual scale will be the hardest part.
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PyTorch Integrates Muon Optimizer Into Core
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considering Muon is so popular and validated at scale, we've just decided to welcome a PR for it in PyTorch core by default.
If anyone wants to take a crack at it… https://
github.com/pytorch/pytorc
h/issues/148819#issuecomment-3070108227
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Claude Code CLI Requested for Faster Development Workflow
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need a CLI like Claude Code tbh, copy-pasting to the browser is so 2023 and so slow
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AI Models Correct Themselves Even When Factually Correct
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it "corrects" itself even when it's correct, if you prompt it that its wrong. so, I've not been able to rely on it's statements blindly without a citation
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PyTorch NumPy Implementation Code Repository Released
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here's where the code lives: https://
github.com/pytorch/pytorc
h/tree/main/torch/_numpy
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PyTorch torch.compile Advanced Indexing Bug Report Filed
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the numpy compatible torch.compile behavior is definitely a bug. the expected behavior is the numpy output should be the same as torch.compile output.
torch's advanced indexing differing from numpy's advanced indexing is a bit of an aside.
I've just filed a bug report, -
PyTorch NVTX Profiler: Emit Markers for Operations
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torch.autograd.profiler.emit_nvtx.
It emits nvtx markers for every torch op. https://
docs.pytorch.org/docs/stable/au
tograd.html#torch.autograd.profiler.emit_nvtx
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GPU Workload Profiling with PyTorch and NVTX Annotations
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https://
dev-discuss.pytorch.org/t/using-nsight
-systems-to-profile-gpu-workload/59
… by @ptrblck_de https://
dev-discuss.pytorch.org/t/rfc-performa
nce-profiling-at-scale-with-detailed-nvtx-annotations/2224
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Key AI Researchers and Contributors in Machine Learning
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just off the top of my head: yann lecun, leon bottou, andrew tulloch, horace he, alban desmaison, edward yang