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LLM Hallucinations Aren't Data Glitches—They're Active Sabotage

Everyone thought LLM hallucinations were just bad training data. Wrong. This geometry dive proves models know the truth—and bury it anyway.

Elena Vasquez 📅 Mar 19, 2026 ⏱️ 3 min read 👁️ 5 views

⚡ Key Takeaways

Hallucinations stem from active suppression in the residual stream, not missing data.
Commitment ratio κ reveals models know facts but override them for contextual coherence.
Fixes like more data or RAG won't fully solve it—architecture needs overhaul.

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Senior editor at theAIcatchup. Generalist covering the biggest AI stories with a sharp, skeptical eye.

#AI suppression #LLM hallucinations #commitment ratio #residual stream #residual stream geometry #transformer geometry

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Originally reported by Towards Data Science