I think that keeping tailwind alive means that Gemini Studio:

* Likely gets preferential access to new features and changes in tailwind, keeping it cutting edge

* Keeps a framework alive that Gemini is already good at

If a new framework becomes popular then the amount of training material / material already trained into the model essentially starts from 0.

The mature Frameworks that had plenty of openly available data to train on before everything became locked away are the ones we'll be running with for the next few years. It makes sense to keep it alive.