My point isn't that the procedurally generated woman is as easy for the AI to conceive in many contexts as Brad, but that there are ways of explicitly reusing p

My point isn't that the procedurally generated woman is as easy for the AI to conceive in many contexts as Brad, but that there are ways of explicitly reusing parts of images and combining an actor, a hat and a location in a novel but acceptable way is a tough challenge text prompt driven neural networks appear to now perform well at. Manually tagging items in each frame and requesting that they're in the next frame with text prompts doesn't scale, but adding a degree of automation to classifying parts of a frame and updating the data corpus and text prompt for the next frame doesn't seem an insurmountable problem. Many existing CGI techniques don't scale well (even human CGI artists working on Hollywood movies expect instructions on frame composition far more explicit than a director's comments and storyboard; I had a flatmate who was that translation layer). I don't see us getting coherent cinematography from feeding it Hollywood scripts soon if ever and agree there will be significant uncanny valley issues with human mannerisms, but we can do a lot of convincing and selective creative work with text prompts that we couldn't until recently. Especially in combination with other tools, so if DALL-E's concept of geometry is nowhere near capable of generating the side profile of procedurally generated 5'6" Italian woman, we create the woman in a specialised tool for 3D procedural face generation, and feed DALL-E as many images with different angles and lighting as it possesses of Brad. I'd agree we're a long way from doing without human curation and letting the neural networks do all the heavy lifting, but it looks like its now a curation and classification problem rather than a "neural networks can't discern that" problem.