| Behind the Oracle 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.” |
All replies are still hash-chained and verifiable at: https://oracle-philosophy-backend.onrender.com/health → returns OK