alt Hacker NewsWhat you are saying is totally correct.
And this applies to language / code outputs as well.
The number of times I’ve had engineers at my company type out 5 sentences and then expect a complete react webapp.
But what I’ve found in practice is using LLMs to generate the prompt with low-effort human input (eg: thumbs up/down, multiple-choice etc) is quite useful. It generates walls of text, but with metaprompting, that’s kind of the point. With this, I’ve definitely been able to get high ROI out of LLMs. I suspect the same would work for vision output.
I'm not sure, but I think you're saying what I'm thinking.
Stick the video you want to replicate into -o1 and ask for a descriptive prompt to generate a video with the same style and content. Take that prompt and put it into Sora. Iterate with human and o1 generated critical responses.
I suspect you can get close pretty quickly, but I don't know the cost. I'm also suspicious that they might have put in "safeguards" to prevent some high profile/embarrassing rip-offs.