Why do you think it’s trash?

The only reason to use AI in programming is to simplify C++ error messages.

People care about privacy. But they care more about convenience. If the browser is preinstalled on your system and you are not making a deliberate choice to switch, you’ll keep using it.
Changing a habit is a difficult task. Usually, people don’t like to do it. So they stick with the worse, even though there are such beautiful things like Firefox.

That’s what giants like Apple know. They draw people into their own ecosystem in order to groom them into the perfect customer. They start in schools by giving schools special cheap licenses to use Apple products. An investment into future customers, because as we know, customers will gravitate towards stuff they know.

And I wonder how such things can be legal.

You are literally wrong. Nice article, don’t see how that’s relevant though.

Could it be, that you don’t know what “intelligence” is? And what falls under definitions of the “artificial” part in “artificial intelligence”? Maybe you do know, but have a different stance on this. It would be good to make those definitions clear before arguing about it further.

From my point of view, the aforementioned branches, are all important parts of the field of artificial intelligence.

I totally agree with Linus Torvalds in that AIs are just overhyped autocorrects on steroids

Did he say that? I hope he didn’t mean all kinds of AI. While “overhyped autocorrect on steroids” might be a funny way to describe sequence predictors / generators like transformer models, recurrent neural networks or some reinforcement learning type AIs, it’s not so true for classificators, like the classic feed-forward network (which are part of the building blocks of transformers, btw), or convolutional neural networks, or unsupervised learning methods like clustering algorithms or principal component analysis. Then there are evolutionary algorithms and there are reasoning AIs like bayesan nets and so much much much more different kinds of ML/AI models and algorithms.

It would just show a vast lack of understanding if someone would judge an entire discipline that simply.

Good for you. If your company is regularly the target of industrial espionage and your coworkers have a hard time detecting phishing mails, you’re happy to have a good AV suite as a further security measure.