On consumer devices, AI communicates with us through speakers and screens. Screens are the richer medium, so most consumer AI innovation will happen there.
Computer graphics will have enormous applications because they are directly controllable by LLM-generated code. Video models are probabilistic and less suitable when precision matters. In education, for example, we need exact visuals. If an AI wants to plot y = sin(x), it should generate the precise graph through computer graphics rather than approximate it with a video model.
Coding, graphics, all seem to have very defined background data for an LLM to base their decisions on, test, and even when I correct it we're all on the same page. Seems like there's lots of room for AI productivity there.
What I find funny is that approximate to computer graphics are video games. When I ask AI about a decision available to me in a video game AI completely fails, OFTEN. I assume all the forums and changes made to a game over time might be quite confusing for AI. But I've also seen it completely make up characters and decisions and weapons and so on about some very clearly defined games and paths. It's an interesting dynamic.