DISCLAIMER: This is an independent, volunteer-run publication for educational purposes only. Views are the author's own and do not represent official BCS policy. See full disclaimer below.
Heads up: This is early, experimental tech. BCorrect can take up to a minute to load — the whole AI runs in your browser, no servers. It has bugs. It's a first-of-its-kind prototype. But it works, it's improving fast, and your data never leaves your device. That's the point.
We have developed an extremely compact 2MB language model framework that runs entirely in your browser. That's right: you can build a working LLM that can perform useful tasks using as little as 2 megabytes. For context, that's smaller than most of the photos on your phone. The LLMs we have built with it have averaged about more about ~50 MB, but that still makes it the most efficient in the world.
Traditional LLMs are massive (16GB+) and need servers to run. They also hit hard
limits on context windows, usually one hundred thousand to two million tokens max. We took a
completely different approach using fractal mathematics, and the results
are... world-changing.
UPDATE February 2026: Our latest testing shows significant promise across comprehensive
spell checking scenarios in under 3ms latency. Our FMM+LLM hybrid technology is now production-ready.
Production Ready
Lightning Fast
Completely Private
Traditional LLM
16+ GB Storage
Billions of Parameters
Server Required
No Privacy
Traditional Approach
Massive, server-dependent
Fractal Mathematics
100% Local & Private
Instant Download
Browser-Based
ShoyHuman Approach
Tiny, completely local
The Breakthrough: Same intelligence, 183x smaller, completely
private!
Our 100+ dimensional fractal embeddings perform
roughly like a 16GB traditional LLM. That's 183x more efficient. And unlike
traditional models that hit hard token limits, the fractal math just...
scales. Theoretically infinite context windows, if you had infinite RAM.
(You can't directly compare fractal embeddings to traditional parameters. They're
completely different architectures. The real story is the 183x compression
ratio. But in truth, a good FMM can't work without a good LLM to hybridize with it.)
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Copyright & Patent Notice: ShoyHuman LLM+FMM (Large Language Model + Fractal
Morphological Model) architecture is © Bad Character Scanner Codebase and
Patent Pending. All free tools are © Bad Character Scanner Codebase.
Unauthorized reproduction or use is prohibited.
FULL DISCLAIMER: The BCS Industry Blog is an independent, volunteer-run publication for educational and entertainment purposes only. The views and opinions expressed in blog posts are solely those of the individual authors and do not represent the official policy, position, or advice of Bad Character Scanner Codebase or its affiliates. The blog is operated independently and is not subject to the jurisdiction or editorial control of BCS. All content is provided "as is" and should not be construed as professional or legal advice.
