Talkie: An LM from 1930 (talkie-lm.com)

A new 13-billion-parameter language model named Talkie has been introduced, trained specifically on texts predating 1931. This model reflects the culture and values of its training data, which poses the risk of generating content that may be inaccurate or offensive due to its historical context. To mitigate these risks, Talkie's outputs are moderated by Qwen3Guard-Gen-4B, although moderation is applied only after the streaming of messages has occurred, meaning some objectionable content might be briefly visible before it’s flagged. The significance of Talkie lies in its approach to AI training data and the complexities of historical contexts in language modeling. By focusing on pre-1931 texts, Talkie opens up discussions about cultural representation in AI and the ethical implications of using historical data that may not align with contemporary values. This model not only serves as a case study in the impact of historical biases in AI but also challenges the AI/ML community to consider how outputs can be moderated effectively, balancing free expression and responsible content generation.