Accidental Factors

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Libraries not Frameworks & Training vs Agentic loops

March 20, 2025

A couple of conversations I was in last week around agentic system design reminding me of Brandon Smith’s excellent write libraries, not frameworks post

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A HBS paper on the PyTorch Foundation

March 19, 2025

Igniting Innovation: Evidence from PyTorch on Technology Control in Open Collaboration by Daniel Yue, Frank Nagle :: SSRN

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Vibe Coding & Code Review

March 19, 2025

Vibe coding is trendy right now, and it’s part of a bigger shift toward AI-generated code. One of the questions I have about this, at scale, is how it will interact with code review.

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Ping Pong GEMM from Scratch

March 18, 2025

bertmaher/simplegemm

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Post-Training & Elicitation

March 16, 2025

Nathan Lambert of the Allen Institute writes abouttheir (very strong) Olmo 2 32B release, and the just released Gemma 3 model from Google. One of the many interesting points:

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Quantization in PyTorch

March 14, 2025

Jerry Zhang recently posted a coupleof updates on the evolution of the quantization APIs in PyTorch, and the unification around TorchAO.

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Performance of the tail-call interpreter in Python 3.14

March 10, 2025

Performance of the Python 3.14 tail-call interpreter – Made of Bugs

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Horace He’s thoughts on PyTorch

March 4, 2025

https://www.thonking.ai/p/why-pytorch-is-an-amazing-place-to

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Write more kernels

February 26, 2025

The GPU Mode discord has emerged as the preeminent hub for current and aspiring GPU kernel hackers, and several of the folks there have kicked off a project to help make it easier for folks to write and benchmark them. https://gpu-mode.github.io/discord-cluster-manager/docs/intro/ goes over the idea, but it’s a series of leaderboards and runners for different kernel types so you can easily find (and beat!) the state of the art:

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DeepSeek’s Flash MLA Kernel

February 25, 2025

https://github.com/deepseek-ai/FlashMLA/

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