It did that thinking about a helmet but didn't actually include a helmet. And there's no "actually, wait, this is just a cute little image no helmet" thought.
I would expect it happens more organically where people’s discussion of the benchmark and posted results find their way into the training data, like anything else on the internet.
What is this supposed to mean exactly? Do you think there are developers at OpenAI or Anthropic whose job is to train these state of the art models to draw pelicans riding bicycles? Like how exactly do you expect them to be doing that anyways? Hiring graphic artists to create SVGs of bike riding pelicans and feeding thousands of them into the model's training set?
Generate two images, get a vision model to judge, then RL reward the better one. And yes, OpenAI employees on twitter bragged about the model's SVG capabilities. So there are clearly people working there who care about it.
Do you really think there aren't data annotator services specifically training for SVG drawing? And that those annotators don't have a rich set of frequently requested icons/graphics/etc. that they review and train on?
How did you decide to go from people whose jobs it is to optimize an LLM for a very specific benchmark that is mostly a fun curiosity at best... to employing the services of data annotation services for a rich set of icons and graphics?
You really have to go out of your way to completely misrepresent what's being claimed here in order to make such a wildly off-topic reply.
I don't think it's a great rebuttal, quite the opposite actually: it's the same prompt with the most obvioy tweak you can imagine and the results are all the same. That definitely looks like it's been something the models have been trained on, and not some emergent capability (and if you take into account how nonthinking Luna compares to the SotA models from a year an half ago: https://simonwillison.net/tags/pelican-riding-a-bicycle/?pag... it becomes even more obvious)
It's actually not just valuable, but infinitely valuable. Because it's imaginary, there is no way to do it perfectly, and thus the possibilities are endless, and it tests out both the formulation and execution of ideas.
The rate at which the value accumulates depends on release of new models and admittedly it's a small community, so you may be in for a wait! But I still mean it, it is a small but enduring stream.