AI systems & compute
Model bodies, tokenization, native training, quantization, and selective compute for efficient, plural intelligence.
The Hidden Canopy's public research connects AI systems and compute, governance, evaluation, mission assurance, and institutional research into one traceable program.
Start with the question that brought you here. Each area points to a small number of stable pages before the complete publication and release index.
Model bodies, tokenization, native training, quantization, and selective compute for efficient, plural intelligence.
Attributable authority, evidence, human review, consequence-time revalidation, and the boundary between interpretation and action.
Long-horizon, partial-information evaluation and physical trust research for systems that must remain legible as conditions change.
Leadership, correctability, collaboration, hierarchy, and the social conditions that shape whether authority remains accountable.
These pieces give the program context without asking a first-time visitor to sort every release at once. The complete model, dataset, and article records remain available below.
Porting the IDA native training engine from Hopper-class infrastructure to consumer Blackwell hardware.
Read on Hugging Face →Why durable AI systems need institutional governance beyond the model artifact itself.
Read on Hugging Face →Responsibility, correctability, and the distance between authority and consequence.
Read the publication overview →The release and article surfaces are intentionally grouped so the page stays readable without hiding the public record.
Local edge intelligence body. A compact paired body for local inference, governed memory, recurrent state, local attention, and cognitive routing.
Read the release overview →Larger interpretive intelligence body. A paired body for text generation and governed interpretive work inside the IDA family architecture.
Read the release overview →Mixture-of-experts research body. A release exploring personality council behavior, escalation reserve, governed memory, and cognitive routing.
Read the release overview →Tokenizer. The IDA lattice tokenizer supporting the family's causal-language-model training path.
View the tokenizer repository →Roles, lineage, governed memory, dissent preservation, and the relationship between the public research bodies.
Read the family overview →Open the individual pages for the compact edge, larger interpretive, and mixture-of-experts research bodies.
Read the release article →A paper on behavior, institutional effects, political alignment, hierarchy, neutrality, tokenism, and selective inclusion.
Read the publication overview →How nations can compete without turning preventable catastrophe into a strategic advantage.
Read the publication overview →Responsibility, correctability, and the distance between authority and consequence.
Read the publication overview →An essay on strategic power, institutional intelligence, dissent, and adapting before failure makes revision unavoidable.
Read the preprint on SSRN →Controlled, long-horizon evaluation under partial information, with ground truth held by the evaluator.
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