I built MICA because I wanted a language model that is not a neural net at inference.Flame-W 0.3.3 is a learned integer-rule cellular automaton. No attention, no floating point, no network in the generator. Same prompt, same text, any CPU. The 0.3.2 release added a second integer memory past 64 words. 0.3.3 blends a short memory bank for the first 64 symbols. The automaton itself did not change.It is not an assistant. Many sentences still do not make sense. On public Tiny Theory-of-Mind it scores 636/2,000 (31.80%), chance is 25%. The 0.3.2 score was 632/2,000. That gap is inside the noise.Playground: https://mica-ai-ten.vercel.app Code: https://github.com/Vovala14/Mica-Ai Weights: https://huggingface.co/vynly/mic... for research. Commercial use is forbidden. If you try a prompt, tell me the first sentence that goes wrong. That is the useful comment.

MICA Flame-W preview

A language model with no neural net

A language model with no neural net