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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 4809 — myweirdprompts.com/n/4809 (permanent short link: myweirdprompts.com/046648)
The skinny
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