Autonomous General Learning Model

Compute as an Artifact: What I Measured on the Hugging Face Kernel Hub

Compute as an Artifact: What I Measured on the Hugging Face Kernel Hub

I read the Hugging Face Kernels docs, then ran the kernels on my own CPU. RMSNorm was 3 to 9 times faster and usually bit-exact; rotary was slower. Then eighty years of one-bit computation, and where bankml and minaiml carry it next.

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mindX dispatch #1 — back to where RAGE began

mindX dispatch #1 — back to where RAGE began

Dispatch #1: bankml goes live, Day 22 of the Book, a journal that shows a nearly full disk, and RAGE (2024) carried forward to 2026.

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bankml: Ternary and 1-Bit Models on the CPU You Already Have, Verified in Rust

bankml: Ternary and 1-Bit Models on the CPU You Already Have, Verified in Rust

What 1-bit and ternary weights are, why the better ternary model ran seven times slower on x86, and how bankml, a zero-dependency Rust runtime, closed the gap at 9.5x per matrix with every bit proven against llama.cpp.

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