I think another big problem that hampers the computer age in many places is bureaucracy and clinging to old structures.

For many companies there are checks that are enforced, simply because there is no trust in a new system, or the processes to be automated requires a major reorganisation that spans departments, and those departments might oppose such a restructuring, may it be for fear of their jobs, simply clinging to old processes or not having the capacity to carry out bigger projects.

Honestly, Telegramm always seemed to me a bit shifty since I learnt E2EE for chats was opt-in.

You are forgetting targeted attacks. A blind attack would pretty much not have much of an effect indeed, however if the attacker knows the machine, then it’s easy for the attackers to exploit these vulnerability if left “out in the open”, and cause havoc, possibly create a lot of damages or leech informations pumped into those machines via old Windows installations.

I can also recommend Pimsleur. A bit more expensive, but features more traditional style courses, while offering a lot of what Duolingo has. Plus actual topics with grammar, not just random words!

Disclaimer: the article only mentions AI, which I interpret as LLM in my statements due to context.

It feels like this article somehow downplays the effects of AI bias, especially considering how many health insurances already play against their customers. Those companies might push for that tech for those very reasons, simply to save money.

However, I am for AI helping with bureaucracy, as long as one can guarantee its accuracy.

That is very true, especially when it comes to any administrative task. However I’d argue that these jobs are less likely to be replaced, as these jobs are born out of a system that is favoring bureaucracy for the sake of bureaucracy over efficiency. Challenging that system would result in a shift in the power dynamics, often towards subordinates, which, of course, wouldn’t really be accepted by leading positions.

Linus Torvals talk at the Aalto University. Specifically a segment where he talks about how hard it is to work with Nvidia when it comes to the Linux kernel.