The original startup simulator used cropped images of real people, and I could see in the git history where people had asked to have their photos removed, so for the remake I decided to use AI for the headshots. Each was generated with the grok-imagine-image-quality model. The prompt for each person had sixteen different attributes (gender, age, heritage, hair color, face shape, glasses, etc.), and no two images have the same values. ArcFace is then used to ensure each face has a minimum difference compared to all other faces. Anything too similar was kicked out and a new profile replaced it. The result was ~500 headshots each for the 2015 and 2026 eras. The gender and race of each image are tracked so that when one is selected, an appropriate name can be drawn for it. The list of last names was the largest table in the original generator. It seemed overkill for what it was doing, so for the remake I discarded all the names below a certain probability.

Cool, thanks for the detailed response!

> grok-imagine-image-quality

I find it curious that a 2026 model still occasionally makes same type of mistakes that 2018 StyleGAN made.