Can a Podcast Train Itself?

Daniel asks: what if instead of retrieving past episodes from a vector database, we fine-tuned the model to carry the lore in its weights? We break down the difference between retrieval and embedding, what a LoRA fine-tuning pipeline would actually look like for a 4,700-episode archive, and the real risk of mode collapse when a model trains on its own outputs. Is a self-developing podcast possible, or does every improvement loop eventually need a human in the middle? Episode #046648 — open it directly at myweirdprompts.com/046648