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ShoyHuman_01
We're announcing ShoyHuman_01, the first production implementation of a new kind of Hybrid-LLM that operates more like a peripheral nervous system as opposed to a "brain". It is a SpinalCord-class LLM, a hybrid neural-heuristic engine designed for text transformation, not generation.
| Spec |
Value |
| Parameters |
~200,000 (0.2M) |
| Architecture |
Feedforward + Heuristic Engine |
| RAM Footprint |
~50 MB |
| Framework |
rust + custom sudo-transformer |
What is a SpinalCord LLM?
Unlike transformer-based models (GPT, Claude, LLaMA), SpinalCord engines don't use attention mechanisms or autoregressive generation. They can be used to do a huge veriaty of taskes that involve anaysles and transformations. For example, they can be used to transform existing text into something that looks human-like text rather than generating new text.
The "SpinalCord" refers to a proprietary heuristic layer that grafts patterns directly into the transformation process
Key differences from traditional LLMs:
- No context window in the traditional sense
- Fixed token sequence processing
- Hybrid neural + rule-based approach
Status
- Deployment: Operational, in alpha testing mode.
- Integration: Will soon be live in BCS AI Text Humanizer.
- Next: ShoyHuman_02 in development
J. Shoy — December 18, 2025