>Spending more time on FB at this point is unlikely to bring you any advantage, unless you are a business owner trying to use FB to market your product, but then, you are learning digital marketing, not using FB.

You could argue the majority of the population has no sense of privacy settings, or general thoughtfulness toward privacy of themselves or family/friends. While using FB in general is not private toward the corporation or 3rd parties sharing your information (another lesson), there is an important lesson in sharing personal details, opening spam links, etc. You can say that transcends using FB and applies to many applications and I'd agree. As I would say that also applies the same with AI. Plenty of things will transcend between different AI, they already do.

>It is because different AI tools might have very different underlying architectures and trained on different datasets, but you don't have access to these information, so you will never know when to apply pre-existing assumptions about AI tools.

See I disagree. We may not have access to the structural processes behind the AI, but like FB (maybe Instagram or Youttube are better examples) people constantly learn to "game" the new algorithms. People learn new settings, people learn new strategies. It may seem so simply to us now, pulling up Google and searching something, but in 1999 we had to learn it. We will have to relearn how to use the internet alongside AI. Plenty of people will fall behind and just skim the surface of what's possible. Underestimating the potential "muscle memory" of practicing with AI is the entire point of my post.

Even using AI now, the learning curve is quite steep if you start adjusting them with the parameters we're given access to. For example, we have sliders in TTI models. There's plenty to learn, and plenty to watch for in the pipeline for the future. I think dismissing it will be a disadvantage for anyone that is currently still on top of everything to date.