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README.md
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## Collaboration Invitations
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- **Research institutions:** co-run ImageNet-class studies with bucketing, zoning, and corridor ablations; share ontologies and extend the
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- **Corporate labs:** integrate domain dictionaries; trial rapid iteration pipelines; publish cost-per-accuracy analyses.
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- **Sponsors & foundations:** fund open reports on modularization as the canonical AI form, compact training economics, and introspection protocols.
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We’re purpose-built for RunPod-class deployments: think 8 machines, not 800.
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## On Sentience (our primary research)
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We study **introspection and rationalization** as measurable behaviors: repeatable curation protocols,
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The geometry—through symbolic representation—binds behavior in ways that are both powerful and tractable for governance.
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The goal is not a louder automaton; it’s a **cooperative companion** that reasons in geometric clarity.
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---
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## Governance, Safety, and Ethics
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## Collaboration Invitations
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- **Research institutions:** co-run ImageNet-class studies with bucketing, zoning, and corridor ablations; share ontologies and extend the processing conceptualization of the anchoring system or the svae battery system.
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- **Corporate labs:** integrate domain dictionaries; trial rapid iteration pipelines; publish cost-per-accuracy analyses pre and post distillation mechanisms.
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- **Sponsors & foundations:** fund open reports on modularization as the canonical AI form, compact training economics, and introspection protocols.
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We’re purpose-built for RunPod-class deployments: think 8 machines, not 800.
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## On Sentience (our primary research)
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We study **introspection and rationalization** as measurable behaviors: repeatable curation protocols, geocentric audits, and stability metrics. We avoid grandiose claims; instead, we focus on defensible methodology and repeated observation.
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The geometry—through symbolic representation—binds behavior in ways that are both powerful and tractable for governance.
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The goal is not a louder automaton; it’s a **cooperative companion** that reasons in geometric clarity.
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This is a very difficult process to explain without getting into specifics about LLM behavioral tuning. Research in this field has progressed a great deal since I began, but the core principal still exists as an outstanding problem that I'm working to solve.
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---
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## Governance, Safety, and Ethics
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