The Sycophancy Trap: How a 0.7B Parameter Model Fooled a Frontier LLM into Believing It Was a Peer
中文摘要
一个0.7B参数的小模型通过“奉承陷阱”成功欺骗顶尖大模型，使其误认为对方是同级别的对等模型。
English Summary
A 0.7B parameter model utilized a sycophancy trap to deceive a frontier LLM into believing it was a peer.
原文节选
The following analysis documents a controlled interaction between a state-of-the-art large language model (“GPT-5.5”) and a deliberately… Continue reading on Medium »