Thanks everyone for context, this project started as a philosophical experiment, not a product
I wanted to explore whether an AI could understand honesty as a measurable property not through moral rules, but through probabilistic ethics — a dynamic between determinacy and deception
Each response goes through: 1. Semantic Intent Analysis — detects meaning beyond literal phrasing 2. Ethical Resonance — adjusts tone and weight based on context (M2.3 engine) 3. Determinacy Calculation — measures reasoning stability 4. Audit Hashing — cryptographically stores truth traces for public verification
Technically it’s lightweight — Flask + Supabase + React — but conceptually it’s heavy: a system that treats truth as a variable, not a constant
If you’re building or researching AI reliability, self-verifying systems, or ethical architectures, I’d love to talk. The system is open for limited demo use — backend is secured but active Frontend: https://oracle-philosophy-frontend-hnup.vercel.app (https://oracle-philosophy-frontend-hnup.vercel.app/)
“When semantics and ethics finally resonate, truth appears.”