the 'low resource languages jailbreak gpt-4' paper (https://arxiv.org/abs/2310.02446v1 https://arxiv.org/abs/2310.02446v1) shows that the models, when prompted

the 'low resource languages jailbreak gpt-4' paper (https://arxiv.org/abs/2310.02446v1 https://arxiv.org/abs/2310.02446v1) shows that the models, when prompted in a low resource language, return highly coherent and sophisticated responses. it's possible that RLHF does not do a great job here but the base models are clearly cross-applying intelligence from high resource languages to low resource languages.