AI, but in the other direction

This recent bite of news from Podnews.net reminded me of a discussion I recently had with @tracyhazzard

Is a new Google service flooding podcast apps with spam? Calling them “a threat to the podcasting community”, the podcast directory Listen Notes has made a NotebookLM Detector, to spot shows made by Google’s NotebookLM. So far, it’s detected more than 280 shows which have been made using the AI tool. “Notebook LM has made it easier to mass-produce low-quality, fake content”, says Listen Notes founder Wenbin Fang; though The Spectator’s Sean Thomas suggests that AI may “make the podcast bro irrelevant”.

~ Podnews Oct 8, 2024 issue

As podcasters we’re focused on one direction; call it the “forward” direction with increasing amounts of refinement and care…

  1. we record an episode
  2. we do post-production
  3. we write show notes
  4. we write blog posts or in-depth articles based on the episode
  5. we write based on themes we find running through several of our episodes

Each of us puts a lot of effort into that work, in that “forward” direction.

Tracy and I were talking about using AI to generate podcasts by going in the other direction. What if we took our own work, and used AI to generate new podcasts?

If it was done well, the AI could generate great podcasts, in my voice— me doing host-on-mic, from the things I have written.

That’s an interesting idea…

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@craigconstantine I have been mulling this over too - looking at how to do this in a way that is useful to listeners. Stay tuned - I will update you soon on what I have come up with! Thanks for making me think Craig!

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