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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 unde
by renshijian 1y ago
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 (https://oracle-philosophy-frontend-hnup.vercel.app/ https://oracle-philosophy-frontend-hnup.vercel.app/)
“When semantics and ethics finally resonate, truth appears.”
- renshijian 1y agoSmall update: Added a “humanized bridge” for casual questions — if you say “I’m tired” or “I feel lost”, the system answers like a companion instead of a logic engine For technical or ethical prompts, it stays formal All replies are still hash-chained and verifiable at: https://oracle-philosophy-backend.onrender.com/health https://oracle-philosophy-backend.onrender.com/health → returns OK