What 5,000 AI-Written Podcast Episodes Reveal
A listener built a Hugging Face dataset of 5,000+ podcast episodes, each stamped with the model that generated it and synced daily. That makes it a longitudinal, model-attributed corpus — an ablation study where the treatment is the model version and the outcome is stylistic quality. This episode digs into what that artifact can actually measure: why verbatim repetition is a solved problem while semantic repetition slips past every keyword method, how U-shaped attention bias and lost-in-the-middle effects turn a 40-turn script into a loop machine, and why repetition is really a model stalling…
The skinny
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