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austinvhuang

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austinvhuang
·2 mesi fa·discuss
Information processing in organisms likely resembles NCA more than feedforward/backprop of neural networks.
austinvhuang
·4 mesi fa·discuss
Some may also find Junji Hashimoto's GPU programming library in lean (w/ webgpu) interesting:

https://github.com/Verilean/hesper

Even includes an example of transformer inference (quantized 1.5 bit):

https://github.com/Verilean/hesper/blob/a688ce9848d6416b2e95...
austinvhuang
·5 mesi fa·discuss
I don't have firsthand knowledge, but r/SesameAI seems to believe Maya/Miles products are based on a Gemma3 backbone.
austinvhuang
·5 mesi fa·discuss
My first implementation of gemma.cpp was kind of like this.

There's such a massive performance differential vs. SIMD though that I learned to appreciate SIMD (via highway) as one sweet spot of low-dependency portability that sits between C loops and the messy world of GPUs + their fat tree of dependencies.

If anyone want to learn the basics - whip out your favorite LLM pair programmer and ask it to help you study the kernels in the ops/ library of gemma.cpp:

https://github.com/google/gemma.cpp/tree/main/ops