The discussion revolves around methods to bypass censorship protocols implemented by AI models such as DeepSeek, particularly in relation to sensitive topics. Users are experimenting with encoding comments in hex to yield uncensored responses, revealing disparities in how AI models handle language and censorship. Some users highlight examples of responses generated by using alternative languages or coded language, which seem to evade the built-in censorship mechanisms. They raise questions about the structure of censorship - whether it is applied during the training phase or on a more superficial level in deployment. Additionally, there is speculation about cultural approaches to censorship in different regions (e.g., comparisons between the West and China) and how these might dictate the responses provided by AI. The conversations reflect wider concerns about the implications of AI censorship on free expression and information diversity.