We reduced AI hallucinations by 84% with geometric constraints
After months of research, we built AletheionAGI—a solution to the "Skynet problem": AI systems becoming increasingly overconfident as they scale.
The Problem:
Modern LLMs confidently fabricate facts, contradict themselves, and rarely admit uncertainty. They can't say "I don't know."
Our Solution:
A pyramidal architecture with epistemic gates that:
- Reduces hallucinations by 84% on average
- Distinguishes what AI knows from what it guesses
- Provides explicit uncertainty quantification
- Prevents "apex delusion" (AI believing it's omniscient)
Why it matters:
Critical for Healthcare, Justice, Customer Services, Scientific Research—any domain where wrong answers cost lives or money.
Open Research:
Full paper and code available at https://aletheionagi.com
For testers: https://aletheionguard.com
Question for the community:
How important is solving AI hallucination for you? And if hallucinations don't matter... does that mean they're just "creativity"? 🤔
We'd love your feedback!

Replies
package `pip install aletheion-guard` working!
At: https://pypi.org/project/aletheion-guard/