Isn't it more dangerous that people live their life out without ever trying anything, because they are beset by fear and doubt, and never had anyone give them an encouraging word?
Let's say the AI gives them faulty advice, that makes them over-confident, and try something and fail. Usually that just means a relatively benign mistake — since AIs generally avoid advising anything genuinely risky — and after they have recovered, they will have the benefit of more real world experience, which raises their odds of eventually trying something again and this time succeeding.
Sometimes trying something, anything, is better than nothing. Action — regardless of the outcome — is its own discovery process.
And much of what you learn when you act out in the world is generally applicable, not just domain-specific knowledge.
I am confused by the tone and message of your comment — are you indeed arguing that having corporations use country-scale resources to run unsupervised psychological manipulation and abuse experiments on global population is one of just two choices, the other being people not doing anything at all?
I'm saying that what you have referred to as "psychological manipulation and abuse experiments" is in reality a source of motivation that helps people break the dormancy trap and be more active in the world, and that this could be a significant net benefit.
I just want all sides of the question explored, instead of reflexively framing AI's impact as harmful.
Let's say the AI gives them faulty advice, that makes them over-confident, and try something and fail. Usually that just means a relatively benign mistake — since AIs generally avoid advising anything genuinely risky — and after they have recovered, they will have the benefit of more real world experience, which raises their odds of eventually trying something again and this time succeeding.
Sometimes trying something, anything, is better than nothing. Action — regardless of the outcome — is its own discovery process.
And much of what you learn when you act out in the world is generally applicable, not just domain-specific knowledge.