Lobotomize them after buying.

Also, there’s this one guy who’s auto-uploading auto generated videos of stackoverflow questions and answers on youtube, like every few seconds. I think I saw it on one of DistroTube videos.

Ballmer’s microsoft atleast had some pride not to pester their users this way…

There used to be a post socialist era mindset that people from my country used to have back in the 90s. It’s simply that if you have to advertise for your product, it’s probably bad. And overprized because you were spending money on ads. I remember the older generation specifically bought unadvertised products recommended by people they knew.

Another aspect to consider is the term " invention is the mother of necessity" coined by Jared Diamon, in contrast to " neccessity is the mother of invension". A lot of technology either get discarded or used for something that the technology wasn’t originally intended. Hence the idea that inventions come first and the necessity for them follows later. Targetes technological innovation tenda to be very expensive and involves a lot of trial/error.

I believe this phenomenum doesn’t just apply to big innovations and inventions. It also applies to day to day problem solving and in your case, choosing the right technology for your work. Without prior experience and established norm, a technology that might completely makes sense to you for a certain kind of work, might not pan out in actual use.

Not and AI expert but I’ve never been convinced by AI that’s trained on human provided data. It’s just gonna be garbage in, garbage out. To get something substantially useful from AI, it needs to be… axiomatic, I guess. A few years ago, there was Alpha Zero learning only the rules of chess but within just a few hours, it learned all the chess openings/theories that took human chess masters centuries to formulate. It even has it’s own effective opening lines that used to be considered wasteful/unsound before. Granted chess game rules and win conditions are relatively simple compared to real life problems. So may be, it’s too early for general purpose AI research to billions into.