The original article was written by an employee of an AI company, demonstrating that a CMS is not really needed when you can use AI. Both are probably biased, but nonetheless both articles are worth a read. Re-evaluating established patterns in the age of AI is an interesting thought exploration, from both sides.
It also doesn't nag you with administrative tasks to "save" notes when you close Notepad. You close the editor, Notepad is gone. You open Notepad, the notes are there again. And since recently it has tabs too. What a time to be alive.
There's nothing on macOS or Linux that comes close.
It doesn't have to be thrown out. It can be re-used by someone else. Just build durable electronics. It will last a decade easily. Upgradeable laptops are actually less sustainable: people buy not 1 or 2 laptops, but 1.6 laptops: effectively throwing away 0.6 laptop.
Also I see no reason why a non-upgradeable laptop would also be non-repairable.
Things weren't simpler. The complexity was simply not visible because different teams/department were all doing a small part of what now a single team is doing with Kubernetes. Yes, for that single team it is more complex. But now it's 1 team that does it all, instead of 5 separate teams responsible for development, storage, networking, disaster recovery, etc.
I find it strange AGI is the goal. The label AI is off and irrelevant. A language model is not AI, even a large language model. But language models are still extremely useful and potentially revolutionary. Labelling language models as AI is both under and overstating the value. It's not AI (insert sad trombone), but that doesn't mean it's amazing technology (insert thunderous applause).
This terminology is confusing. Historically, AI was always used to mean any kind of machine intelligence, including the most basic novice chess AI, or an image classifier, or a video game character's AI. Now a lot of people seem to be using it as a synonym for AGI - a human-level intelligence.
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