That might be the case, but Simon's case "Generate an SVG of a pelican riding a bicycle" is very different.
The model actually has to understand what parts of a pelican and bicycle come together in something like an anatomically plausible way. That's a higher level of abstraction than something like passing the same prompt to Stable Diffusion etc
(The new Nano Banana/GPT Image 2.0 models are different though - they have significant world knowledge baked in)
