Harvard AI "Talkie" Trained on Pre-1931 Texts

Harvard libraries have provided nearly a century of printed history to train a new artificial intelligence model called Talkie. This large language model was trained exclusively on text published before January 1, 1931. What's interesting is that Talkie responds fluently to prompts about early aviation or 1920s social customs. However, it falters when asked about topics like the internet or World War II. The researchers chose this specific timeframe because many works published in 1930 will enter the public domain in 2026. Here's the thing: researchers are using models like Talkie to study how AI learns. They want to see if it can infer ideas that emerged after its historical cutoff. For example, Talkie produced new code when given Python snippets, even though it was trained on data from before computers existed. The creators acknowledge Talkie has limitations. It can reproduce racist or discriminatory attitudes present in the historical texts it learned from. However, the public demo includes moderation and warnings. The bottom line is that libraries, with their vast public domain collections, are becoming crucial in developing AI systems that avoid copyright issues faced by other tech companies.