1930S-TRAINED AI IMAGINES 2026 AS STEAMSHIP ERA

Talkie represents an interesting experiment in linguistic extrapolation. By constraining training data to pre-1931 texts, researchers created an AI with a knowledge cutoff nearly a century in the past. The model's predictions reveal how 1920s writers imagined future technological development. Talkie foresees continued dominance of steamship travel and railroad networks as primary transportation modes. It envisions a world where penny novels and serialized fiction remain popular media formats. Most strikingly, Talkie expresses skepticism about predictions of a second global conflict—a reasonable position given the geopolitical climate of 1930, before Nazi Germany's rise to power fundamentally reshaped the international order. The experiment highlights how training data shapes AI predictions and assumptions. An AI's view of the future is fundamentally constrained by what humans wrote in its training period, making historical perspective crucial for understanding AI limitations.