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Flame-W writes sentences from learned integer rules on a cellular automaton. No attention, no floating point, no neural net at inference. Same prompt, same text, on any CPU. Research demo, not an assistant.
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.
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About MICA Flame-W preview on Product Hunt
“A language model with no neural net”
MICA Flame-W preview was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #140 on the daily leaderboard. Flame-W writes sentences from learned integer rules on a cellular automaton. No attention, no floating point, no neural net at inference. Same prompt, same text, on any CPU. Research demo, not an assistant.
MICA Flame-W preview was featured in Open Source (69k followers), Developer Tools (521.3k followers), Artificial Intelligence (481.3k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 267.4k products, making this a competitive space to launch in.
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