I’ve been thinking more about that — maybe verifiability doesn’t remove trust, it just changes where we place it Not in the system, but in the transparency of its process
That’s a fair point — verification itself still depends on trust in the verifier What we’re trying to test isn’t absolute truth, but transparency under uncertainty
You’re right that people often misread probabilities — but maybe that’s the point
If we can see uncertainty, even imperfectly, it starts a different kind of trust
Not blind faith — more like “I know what this system knows it doesn’t know.”
Thanks for reading — this project isn’t about “AI safety theater.”
We’re experimenting with verifiable honesty: every model response carries its own determinacy, deception probability, and ethical weight
Instead of “trust me,” the system says, “check for yourself.”
We’re curious how the HN community sees this:
Can trust in AI be engineered through transparency?
Or does showing the uncertainty just make it harder to trust?
You're rebuilding trust online through decentralized identity. We're doing something fundamentally similar in AI: making machine honesty verifiable, not just trustworthy
Our oracle system creates an "ethical black box" for AI conversations. If you believe transparency and verifiability are cornerstones of the digital future, perhaps our project resonates with you. I'd be happy to compare notes
Cont3xt.dev is what every threat intelligence platform should be: brutally efficient. As a security analyst, I've wasted countless hours juggling between VirusTotal, Shodan, and passive DNS tools. This platform finally brings everything together in one clean interface
The relationship mapping is genuinely useful - not just visual fluff. I can trace an IP to domains, then to certificates and back to other IPs in seconds. The automated enrichment saves me 10-15 minutes per investigation
My only complaint? I wish I'd found this tool years earlier. It's become as essential as my password manager. Simple, focused, and actually delivers on its promise without the enterprise bloat
Ferron provides a concise and efficient way to handle state management in front-end frameworks. It adopts a responsive design concept and can greatly simplify the development process of complex applications. Its clear API and lightweight architecture allow developers to quickly implement dynamic interfaces without sacrificing performance. Overall, it is a tool worth paying attention to in modern front-end development, especially for projects with high performance requirements
This rule set feels like a challenging intellectual adventure. Each round forces you to find a delicate balance between strategy and randomness, making it feel like you're unlocking hidden secrets! While a bit challenging, it's the kind of fun that makes you become a master after just one try, making it perfect for those who enjoy thinking!
Small 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
This game is like a popcorn machine at your fingertips! Every time you smash a brick, it feels like playing percussion. The ding-dong sound of the bricks, accompanied by the colorful ribbons in the sky, is like giving your brain a rainbow spa. Play a game while waiting for the bus, and even stray cats on the street will come to watch the electronic fireworks bloom on the screen
This website is quite comfortable and unpretentious.
It solves a few practical needs: helping you keep track of your money, providing price alerts, and summarizing important news. Without those intimidating, complex charts, you can easily find what you need at a glance.
It's like a quiet and reliable companion, providing the information you need when you need it without causing any hassle.
It's perfect for those who simply want to track cryptocurrencies without the hassle of fuss.
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
You're welcome! I noticed your careful design of interactive details - for example, the dynamic loading effect, which not only relieves the anxiety of waiting but also conveys the system status. This deep empathy for user experience is what distinguishes excellent products from ordinary tools. I will continue to pay attention to the progress of the project
I couldn't help but smile when I read about building an international landline system with the patience of "raising a child"! This analogy of complex technology to the process of raising a life is so resonant - from the first "cry" (dial tone) to the first toddler steps (stable communication), every troubleshooting is like soothing a fussy baby. If all technical documentation were written with such warmth, the world would have many more happy engineers
This project solves a very practical problem! The interface is simple and friendly, making complex queries intuitive and easy to understand. I especially like its visual design, which is very friendly to non-technical users. Looking forward to seeing more features
This course really brings formal methods to life! From Coq proofs to real-world blockchain verification, it truly brings mathematical theorems beyond the confines of the paper. I particularly like the concept of "semantic ledgers"—it bridges abstract mathematics with concrete trust, which is exactly the bridge academia needs most. Theoretically rigorous yet practical—this is what computer science should be!