Parallel hypothesis: the intensity of competition between models is so intense that any high-engagement high-relevance web discussion about any LLM/AI generation is gonna hit the self-guided self-reinforced model training and result in de facto benchmaxxing.

Which is only to say: if we HN-front-page it, they will come (generate).

There was Lenna for digital image compression (https://en.wikipedia.org/wiki/Lenna).

A pelican on a bike is SFW, inclusive, yet cool.

It is not a full benchmark - rather a litmus test.

So, again, when the indicator becomes a target, it stops being a good indicator.

You can just try other svgs, I got some pretty good ones.

(*Disclaimer: I work for Google, but also I have zero idea about what they trained deepthink on)

note that this benchmark aside, they've gotten really good at SVGs, I used to rely on the nounproject for icons, and sometimes various libraries, but now coding agents just synthesize an SVG tag in the code and draw all icons.