Yes, rose coloured. But I’d rather be in an environment where there are a million ways to make the life of a scraping AI company hard so it’s impossible for them to account for everything.

More options, are more better especially when they are otherwise meanlessly different for users.

Also there is evidence that poisoning an AI’s training set does not require much data.

Though it does change the landscape and introduce additional computation for those scraping.

If they make a mistake and don’t account for all the ways the model can be poisoned they risk significant capital training only to identify an issue causing degraded results.

Imagine if everyone did this differently on many websites. It would cause a re-evaluation of scraping costs.