I wonder how far away we are from 'infinite TV' as a minimum viable product.

I've seen "AI-generated South Park" episodes that, while clearly not great, had coherent plots and passable visuals. The pickleball episode, only three minutes long, had 1.1 million views on X/Twitter before being taken down. It doesn't seem that outlandish to me that you could automate the entire process and have it running 24/7 on Youtube with current or near-future tech.

I'd imagine the setup would look something like this:

1. Have an LLM write out a bunch of high-level plots. Use existing text grouping methods to deduplicate generated plots, seeding with summaries of 5-10 randomly selected existing episodes to increase output diversity.
2. Postprocess generated plots into storyboards with a second LLM run. These storyboards should try, roughly, to have entries that map 1:1 with brief scenes that can be generated with existing video models, like Sora.
3. In a final postprocessing step, with a good prompt outlining common mistakes and useful prompting techniques, have an LLM compile each storyboard segment into a series of API requests to a video generation model.
4. Have the video generation model run each prompt 1-3 times, and have the best available vision-language model try to pick the best entry based on some randomly-selected frames from each one, prompting them to identify common AI generation failures. 
   • Allow this LLM instance to rate all generations as 'bad' and send the prompt back up the chain for rephrasing, or further up the chain to have the plot adjusted to snip out unworkable scenes and replace them with something else.
5. Compile the final versions of each scene into a single episode, with hard-coded transitions between scenes^[1] specified from a fixed list by the LLM in step 3.
6. Leave the generation loop running, add completed episodes to an output queue. When no new episodes are ready, play a rerun that hasn't been played in a while.

Have to figure the first movers would get a decent income out of it. A never-ending stream of short, self-contained, themed video clips would nail down both the extremely young Youtube audience and some older audiences that want background noise.

Doing it with a familiar property lowers the barrier to entry (since lots of people are already invested in the characters) and makes it easier to get consistent character designs/personalities since they're already embedded in the training data, but also raises copyright issues. It'd be a huge controversy among anti-AI people if a major television show went in on this officially, but I think the ad revenue on an endless series of five minute Family Guy episodes of passable "while I'm doing something else" quality would be colossal.

Barring that, it's only a matter of time before some guy with a Git repo provides nostalgic millennials and zoomers with a plug-n-play script to un-cancel their childhood shows, and enterprising individuals start up bootleg streams of the more popular ones. It seems like kids watching endless AI Family Guy episodes on their phones will provoke quite a bit of discussion from the general public, as a culmination of what a lot of trends have been building towards.

1. ^{^}

   e.g. fade, cut, washout