Kir

This seems Interesting. thanks! I'll add a semi-ot question: if I'm using CasaOs, can I stop using it (maybe even uninstall it) while keeping my docker apps and configuration as they are now? I started with CasaOs but now I feel I could give it up and start manually handling my containers

So cool!

That's what I am doing, actually

I did too and, while the benefit are higher than the loss, I usually feel really left out from one kind of partecipation to society and it's a bit sad.

Well, yeah but it's not what we usually means when we talk about data economy, aren't we?

I would happily pay (not for Facebook, but as a general consideration) if you would give me an ads free eperience AND stop gathering data from me.

è un pensiero comune, in realtà, ma disconfermato completamente da tutti i precedenti analoghi.

Why aren't you going after one of them? Your reason is probably the same for everyone else. No need to use simulation as an explanation: it's just the classic combination between cultural egemony, economical dependency and the monopoly of violence. Always has been.

You can decide to use something because you like it and have a positive value for you, and then end up abusing that same things because of addiction.

Facebook and other social media actively engineer their service to exploit our natural brain functioning in order to became addictive. On top of that, they also give well designed services which can be useful and fun to use. People decide to use those services because of that and ends up becoming addicted and using them for a lot more time. This has nothing to do with good design.

It's like with smoking: people can find it a legitimate pleasure because of the taste, the social meanings and the gesture, but you ends up being addicted because of the nicotine, not because it's a pleasure per-se.

Well designed service and addictive are completely different concept.

Addiction is not about how likely you are to use something and if you like doing so. That's naïve.

Which one do you suggest?

Step 1) Le AI ereditano i bias umani perchè apprendono da una statistica di valutazioni umani. Step 2) Gli umani si fidano delle AI e prendono a modello i loro suggerimenti e i loro bias. Step 3) Riparti dal primo step fino a reificazione del bias a norma nascosta.