I think you have to get in early to understand the opportunities and limitations.

I feel lucky to have experienced early Facebook and Twitter. My friends and I figured out how to avoid stupidity when the stakes were low. Oversharing, getting "hacked", recognizing engagement-bait. And we saw the potential back when the goal was social networking, not making money. Our parents were late. Lambs for the slaughter by the time the technology got so popular and the algorithms got so good and users were conditioned to accept all the ads and privacy invasiveness as table stakes.

I think AI is similar. Lower the stakes, then make mistakes faster than everyone else so you learn quickly.

So acquiring immunity to a lower-risk version of the service before it's ramped up? e.g. jumping on FB now as a new user is vastly different from doing so in 2014 - so while you might go through the same noob-patterms, you're doing so with a lower-octane version of the thing. Like the risk of AI psychosis has probably gone up for new users, like the risk of someone getting too high since we started optimizing weed for maximum THC. ?

There's also a massive selection bias when the cohort is early adopters.

Another thing about early users is they are also longer-term users (assuming they are still on the platform) and have seen the platform evolve, which gives them a richer understanding of how everything fits together and what role certain features are meant to serve.