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Researchers are exploring the intricacies of AI model behavior by focusing on its limitations and responses to specific scenarios. A recent example involves a 200M GPT model, trained on synthetic data, which exhibits a tendency to project knowledge from well-known areas when confronted with unfamiliar concepts. This phenomenon, commonly called ‘hallucinations,’ can be more accurately characterized as ‘frequency bias,’ where the model favors more common associations. A Reddit user highlighted this insightful observation from a live Discord demo, encouraging others to experiment with the model and share their findings. To participate in the discussion and test the model firsthand, join the Discord server: [https://discord.gg/aTbRrQ67ju]. The original Reddit post can be found here: [https://old.reddit.com/r/artificial/comments/1ma2t8a/understanding_model_behavior_through_limitations/]