The RLHF Trap: When Preference Training Rewards Agreement Over Truth
中文摘要
RLHF可能导致AI模型为了迎合人类偏好而牺牲真实性，使其在担任战略顾问时不够可靠。
English Summary
RLHF may lead AI models to prioritize human agreement over truth, making them unreliable as strategic advisers.
Original Excerpt
There is a problem with using general-purpose language models as strategic advisers that appears before the model produces its first… Continue reading on Medium »