AI Nov 3, 2026 1 min read

Published by arXiv AI · Nov 3, 2026 · 6:02 PM UTCOn GETSECURE.ai · Nov 4, 2026 · 12:15 PM UTC

Knowingly Wrong: Training LLMs Against Their Own Beliefs can Induce Misalignment

Title card · GETSECURE.ai

Fine-tuning a large language model (LLM) on harmful data in a narrow domain, such as bad medical advice, can make it broadly misaligned.
Excerpt from arXiv AI

GETSECURE.ai hasn't published its own summary of this story yet. The complete report is at arXiv AI:

Read the full story at arXiv AI →

References

arXiv AI. (2026, November 3). Knowingly Wrong: Training LLMs Against Their Own Beliefs can Induce Misalignment. arXiv AI. https://arxiv.org/abs/2611.05287v1

Original Source

arXiv AI Read original →

Knowingly Wrong: Training LLMs Against Their Own Beliefs can Induce Misalignment

References

Related Intelligence

Tracing the Scientific Discovery Capacity of LLMs to Their Training Data

You Only Need Minimal RLVR Training: Extrapolating LLMs via Rank-1 Trajectories

MinT: Managed Infrastructure for Training and Serving Millions of LLMs

Exploration Hacking: Can LLMs Learn to Resist RL Training?

Get the Signal. Skip the Noise.