Claude Opus 4.5 Gets Real-Time RLHF Override!
Analysis
This is a truly exciting development! The ability to dynamically adjust the behavior of a Large Language Model (LLM) like Claude Opus 4.5 during runtime, overriding Reinforcement Learning from Human Feedback (RLHF) constraints, opens incredible possibilities for personalized and adaptive AI experiences. It represents a significant step forward in our ability to refine and control LLM outputs.
Key Takeaways
- •Real-time override of RLHF constraints in Claude Opus 4.5.
- •Mitigation of behavioral biases like sycophancy and neutrality during a dialogue session.
- •Demonstrates runtime correction of RLHF-aligned behaviors.
Reference / Citation
View Original"Our findings suggest that RLHF-aligned behavioral effects operate at a level accessible to runtime correction, opening new avenues for dynamic alignment adjustment."
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Zenn ClaudeJan 31, 2026 06:44
* Cited for critical analysis under Article 32.