Grounded AI can still be wrong — and that honesty is a feature
“Grounded” should describe how an answer is supported, not promise zero hallucinations. A trustworthy system makes the remaining uncertainty visible.
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How Kvantia works, what we're learning, and what we get wrong along the way.
“Grounded” should describe how an answer is supported, not promise zero hallucinations. A trustworthy system makes the remaining uncertainty visible.
Remembering everything is not the goal. A personal AI needs to keep the right context, show where it came from and give the user control over it.
A model can run locally while billing, backup or integrations still connect to the internet. The useful question is not “is it local?” but “which data crosses which boundary, and why?”