MEGAMIND: 100 Minds, One Formula, Zero LLMs
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MEGAMIND: 100 Minds, One Formula, Zero LLMs
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Deploying 100 specialized AI minds to Hugging Face Spaces right now. None are language models.
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Deploying 100 specialized AI minds to Hugging Face Spaces right now. None are language models.
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Every mind runs one formula: a = x(27 + x²) / (27 + 9x²). One activation function from neuroscience. It handles recall, learning, routing, everything. No softmax. No attention. No backprop.
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Every mind runs one formula: a = x(27 + x²) / (27 + 9x²). One activation function from neuroscience. It handles recall, learning, routing, everything. No softmax. No attention. No backprop.
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A mind is a 15MB Go binary plus a config with a name, goal string, and seed URLs. Give it "cardiology, heart disease" and it crawls medical journals. Give the identical binary "venture capital, pitch decks" and it crawls YCombinator. Same code, two different intelligences after 24 hours.
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A mind is a 15MB Go binary plus a config with a name, goal string, and seed URLs. Give it "cardiology, heart disease" and it crawls medical journals. Give the identical binary "venture capital, pitch decks" and it crawls YCombinator. Same code, two different intelligences after 24 hours.
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It recalls, doesn't generate. No hallucination because there's no generation. Every response traces to a source. If it doesn't know, it returns nothing.
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It recalls, doesn't generate. No hallucination because there's no generation. Every response traces to a source. If it doesn't know, it returns nothing.
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100 minds across 8 tiers. Core intelligence, domain experts in finance law medicine DevOps, deep specialists in genomics computer vision compilers, industry verticals, market intelligence, human knowledge covering philosophy consciousness linguistics, regional minds for every continent, and 10 meta minds that learn from the federation itself detecting contradictions, mapping knowledge gaps, finding cross domain connections no single mind would discover.
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100 minds across 8 tiers. Core intelligence, domain experts in finance law medicine DevOps, deep specialists in genomics computer vision compilers, industry verticals, market intelligence, human knowledge covering philosophy consciousness linguistics, regional minds for every continent, and 10 meta minds that learn from the federation itself detecting contradictions, mapping knowledge gaps, finding cross domain connections no single mind would discover.
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Routing uses the same formula at federation scale. Every mind sends its thalamus centroid to Crown. Crown learns all centroids into its own matrix. Query arrives, Crown activates, top minds resonate, query fans out. No routing tables. Crown thinks about who should answer.
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Routing uses the same formula at federation scale. Every mind sends its thalamus centroid to Crown. Crown learns all centroids into its own matrix. Query arrives, Crown activates, top minds resonate, query fans out. No routing tables. Crown thinks about who should answer.
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Scales to 160,000 minds on two levels, 64 million on three. Consumer hardware. Specialists run free on HF Spaces. Crown runs on a Mac Mini with Metal. Cost: $0 to $9/month.
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Scales to 160,000 minds on two levels, 64 million on three. Consumer hardware. Specialists run free on HF Spaces. Crown runs on a Mac Mini with Metal. Cost: $0 to $9/month.
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7 minds live with 5 million patterns. 93 more deploying now. Next: 200 minds, then 1,000 where consensus emerges without voting.
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7 minds live with 5 million patterns. 93 more deploying now. Next: 200 minds, then 1,000 where consensus emerges without voting.
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Follow at huggingface.co/Janady07
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Follow at huggingface.co/Janady07
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One binary. One formula. It doesn't care how many minds there are.
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One binary. One formula. It doesn't care how many minds there are.
MEGAMIND: 100 Minds, One Formula, Zero LLMs

Deploying 100 specialized AI minds to Hugging Face Spaces right now. None are language models.

Every mind runs one formula: a = x(27 + x²) / (27 + 9x²). One activation function from neuroscience. It handles recall, learning, routing, everything. No softmax. No attention. No backprop.

A mind is a 15MB Go binary plus a config with a name, goal string, and seed URLs. Give it "cardiology, heart disease" and it crawls medical journals. Give the identical binary "venture capital, pitch decks" and it crawls YCombinator. Same code, two different intelligences after 24 hours.

It recalls, doesn't generate. No hallucination because there's no generation. Every response traces to a source. If it doesn't know, it returns nothing.

100 minds across 8 tiers. Core intelligence, domain experts in finance law medicine DevOps, deep specialists in genomics computer vision compilers, industry verticals, market intelligence, human knowledge covering philosophy consciousness linguistics, regional minds for every continent, and 10 meta minds that learn from the federation itself detecting contradictions, mapping knowledge gaps, finding cross domain connections no single mind would discover.

Routing uses the same formula at federation scale. Every mind sends its thalamus centroid to Crown. Crown learns all centroids into its own matrix. Query arrives, Crown activates, top minds resonate, query fans out. No routing tables. Crown thinks about who should answer.

Scales to 160,000 minds on two levels, 64 million on three. Consumer hardware. Specialists run free on HF Spaces. Crown runs on a Mac Mini with Metal. Cost: $0 to $9/month.

7 minds live with 5 million patterns. 93 more deploying now. Next: 200 minds, then 1,000 where consensus emerges without voting.

Follow at huggingface.co/Janady07

One binary. One formula. It doesn't care how many minds there are.
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Jean Louis
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