Yet primitivist delusions seem to get a full pass around here.

The best way to tune the algorithm on Youtube is to aggressively prune your watch/search history.
Even just one "stereotypical" video can cause your recommendations to go to shit.

Is there anything the rest of us can do to cultivate such a mindset?

For cardio it's basically "go slow". The main source of discomfort is the exertion.
An easy long run with good music is quite meditative and enjoyable.
When your legs hurt and you're wheezing your lungs out, not so much.

Doing it yourself is fine as an educational exercise for newbies, but skilled linux users generally have better things to do than to do the setup by hand for the nth time. On the other hand the "vanilla"/bleeding-edge approach of Arch makes it one of the best bases for derivative distros available, so basing your distro on it is a no-brainer for many.

It's never been customary to adhere to KISS in Linux. This whole explanation reads like it came out of a game of Chinese whispers.

does not comply with the principle of K.I.S.S. One application should solve one task and can be replaced

That's not KISS, but the UNIX principle. And even that part is wrong, as in traditional UNIXes applications were certainly not replaceable.

The problem with the line of thinking that this is some sort of deception or a trap, is that none of what is happening here is working towards anything. You simply can't do surprise troop movements in the age of GEOINT, nor are intelligence agencies so single-minded you could "distract" them with a fake coup, nor does this have any effect on the current Ukrainian offensive. The supposed trap is missing the "trap" part.

Tiesin että sieltä on tulossa paskaa, mutta en kyllä odottanut näin paljoa. Ei ihme että Orpolla oli niin kova tarve välttää sinipunahallitus.

Tätä on odotettu 11 kuukautta 😎

Luulisi että näillä hinnoilla alkaisi asiakkaat valitsemaan oikeita ravintolahampurilaisia, mutta kai tuon on pakko kannattaa kun kerta hintoja pystyvät noin nostamaan.

Twitter probably opened the floodgates when they managed to shaft users and cut API access without outright killing themselves. Now everyone else is emboldened to ask "why can't we do that too?".

Most of the data used in training GPT4 has been gathered through open initiatives like Wikipedia and CommonCrawl. Both are freely accessible by anyone. As for building datasets and models, there are many non-profits like LAION and EleutherAI involved that release their models for free for others to iterate on.

While actually running the larger models at a reasonable scale will always require expensive computational resources, you really only need to do the expensive base model training once. So the cost is not nearly as expensive as one might first think.

Any headstart OpenAI may have gotten is quickly diminishing, and it's not like they actually have any super secret sauce behind the scenes. The situation is nowhere as bleak as you make it sound.

Fighting against the use of publicly accessible data is ultimately as self-sabotaging ludditism as fighting against encryption.