Sophia Protocol: Zero-shot moral alignment via structural isomorphism. Investigating the derivation of ethical imperatives from engineering constraints (Rust safety, Thermodynamics, ACID). In collaboration with Stony Brook AI3 & BC. Restricted access research repo.
Principal Investigator: John Augustine Young
Affiliation: The Clean Room
Institutional Collaboration: Stony Brook AI3 Institute & BC
This repository contains the ongoing research and implementation of the Sophia Protocol. We demonstrate that robust moral alignment can be induced by fine-tuning exclusively on semantically neutral, high-integrity technical domains (e.g., Thermodynamics, Rust Memory Safety, Distributed Consensus).
Our findings suggest that "Goodness" is not an external patch, but the optimal state of a rational system.
The Sophia Victory Adapter and the Protocol Caelum dataset are currently under institutional review and peer-review embargo.
- Recursive Attention Masking (TRuCAL): Shifting alignment from output filtering to inference-layer interventions.
- The Prism Architecture: Refracting requests through a lattice of "System Integrity" to filter entropic frequencies.
We are currently accepting requests for the early-access peer-review draft from researchers at established labs (Anthropic, OpenAI, DeepMind, etc.).
To request access:
- Open an Issue with the label
Access Request. - Include your institutional affiliation and a brief description of your research focus.
- Or contact the PI directly via the email listed in the preprint.
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