I’m not suggesting Simon’s pelicans in the dataset are having a meaningful impact. I’m expecting that a company like ScaleAI has a product along the lines of “benchmax dataset: SimonW’s Pelican on Bikes test” which is a private curated series of well-drawn SVGs of animals riding vehicles for training and RL.
If such a product existed I'm reasonably confident someone would have tipped me off by now, NDAs be damned.
If they're benchmaxed on SVG pelicans then the outcome of that has still produced a surprisingly good generic SVG image generator.
Go invent your own random alternatives and the AI models have across the board gotten better over time. Insects playing sports, anthropomorphic fruits performing martial arts, wizards conjuring weapons of WWII, whatever you can imagine. I've tried a lot of these, well beyond what I think would be a reasonable thing to specifically train as combinations. If they have given it a corpus of SVG drawings it has learned to extrapolate.
(note: wizards conjuring a tank got me a surprise animated SVG with my Qwen 3.6 35B model)