renshijian

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

A collision point of ideas has been opened. True insights can only emerge through the refinement of dialogue

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Just to give others some encouragement, there is no recommendation

Let’s cheer together!

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