Episode Details

When someone asks whether AI is a bubble, they usually mean: are large language models a bubble? That equation — AI equals LLM — happened gradually, and it's distorting the entire conversation. This episode unpacks why language models became the visible face of AI (they're the only ones with a natural-language interface), and then walks through the empirical counter-example: the Hugging Face Hub's task taxonomy, which catalogues dozens of model categories that have nothing to do with chatbots. Image classification, object detection, time-series forecasting, tabular regression, reinforcement learning, protein structure prediction — the models doing the most economic work are often the ones nobody names. And that invisibility changes the shape of the bubble question itself. Episode #986734 — open it directly at myweirdprompts.com/986734