dailyai.report

Steering vectors and honesty fine-tuning operate by training models in one configuration and deploying them in another. This train-deploy mismatch creates a fundamental tradeoff between data relevance and method efficacy. Practitioners must weigh these conflicting priorities to ensure model reliability. The approach highlights a systemic weakness in current proxy-based alignment.