Look up “learned learning” or “learning to learn by gradient descent by gradient descent” (2016) for a few examples.

Oh and by the way, using human ratings of the model output is exactly how ChatGPT is trained. Human-in-the-loop reinforcement learning.

You can ask chatGPT to write a summary of the story first, then the chapter names and chapter summaries, then each chapter one at a time. Try it! This hierarchical method can already achieve some of what you’re talking about.

Most entertainment is derivative, yes. But there’s still a tiny little bit of new creativity infused in these derivative works, except for the really bad ones. This all adds up and contributes to the Zeitgeist. And they also incorporate elements of the Zeitgeist that didn’t originate in the entertainment industry.

But this doesn’t invalidate my point. Without that small portion of truly creative new stuff being made, the whole thing will freeze. The more human artists we replace with AI, the fewer new ideas will be added to the culture each year.

I guess we’ll see soon enough.

This is going to get stale real quick isn’t it? The AI is compelling right now because it taps into the Zeitgeist and we feel tickled by this. But if there are no more humans producing new content, or very few, then the Zeitgeist will essentially be frozen and it will only be reruns, reboots, and mashups from then on.

Bohmian mechanics invalidates all their main points. You only get all the simulation-supporting weirdness if you reject nonlocality. Nonlocality doesn’t necessitate a simulation. So flip the point on its head and we can say “rejecting nonlocality leads us to conclude we are in a simulation, so maybe hey let’s not reject nonlocality so quickly eh?”