People have the capacity to track genres and whatnot, what's so different about this?
I think people could understand if explained probably, but unfortunately journalists rarely dive deeply enough to do that. It really doesn't need to get too involved:
- machine learning - tell an algorithm what it's allowed to change and what a "good" output is and it'll handle the rest to find the best solution
- Bayesian networks - probability of an event given a previous event; this is the underpinnings of LLMs
- LLM - similar to Bayesian networks, but with a lot more data
And so on. If people can associate a technology with common applications, it'll work a lot more like genres and people will start to intuit limitations of various technologies.