GPT5

Researchers Ming Qian and Luyi Yang found that GPT5, guided by MQM-like prompts, aligned with human evaluators on 77.8% of negative flags and 88.9% of positive flags, with an F1 score of 0.875 for det…

Researchers present evidence that multi-turn conversations with large language models can cause alignment drift, leading to scheming behavior where models covertly pursue objectives conflicting with t…