Thin concrete slabs are extremely brittle.
Thin concrete slabs are extremely brittle.
Is it? It’s rather expensive and would you really know, if the data is gone or corrupted?
You’d have to download every single file in certain intervals and check it. That’s not really low complexity.
But what actually is “archival”?
Like, what technology normal person has access to counts at least as enthusiast level archival?
Magnetic tape, optical media, flash, HDD all rot away, potentially within frighteningly short timeframes and often with subtle bitrot.
And when people started writing books instead of memorizing epic poems.
It’s usually not a question of legality, but efficiency.
It’s easy and efficient to bust someone for seeding, but busting hundreds for the odd file you can prove they downloaded is expensive and takes forever.
But they are not getting worse. People just don’t understand economics. They just see a number or headline that happens to align with their beliefs and then barf their ignorance into comments.
And that’s factually not true, because - again - no understanding of economics.
What counts are the real wages. If inflation is 2% and wages rise by 2%, nothing changed.
Real wages dropped due to the high inflation over the last years, but that also turned into higher raises. And over the longer run, 10-20 years, it’s not that bad.
So you’re saying, things getting less bad is not good news?
Cancer in remission is actually bad news, because it’s just shrinking, and not gone yet?
Inflation is supposed to be at about 2%. That’s the goal of the ecb. And if you look at a longer scale, that was met, because the decade preceding covid had hardly any inflation.
You just want to be pessimistic about everything.
You don’t understand inflation, do you?
And just about 5 of them have the same capacity as an iPhone battery. Absolutely insane.
If some bot reacts to this comment, you’ll make the developer very unhappy.
Python caches bytecode, so the translation happens only once.
Java loads everything immediately and keeps it in memory. All beans, all connections, etc. That takes up a ton of memory.
Of course, but I’m not productive in it.
If I have to do everything myself, it will take more time to get it done. The trade-off is of course always control/speed vs convenience, but C is definitely too inconvenient for me.
Not that limited. Limited means an old thin client, not a microcontroller. I already set up a small web server on a pi pico with mpy, so it’s quite impressive. But from what I understand, the interop with “MacroPython” is not that great.
Did you use mpy for x86 devices? Are the limitations worth it?
But that would mean either using Graal/native image or going full Scala, right?
I only used Scala for Gatling, where it’s obviously very java-y.
There’s nothing to really grow. It’s mostly just small helpers. Aggregate sensor data, pull data from A and push it to B every hour, a small dashboard, etc.
C is too involved for my case , I want to be productive after all.
Rust is already rather low level, though there are some cool looking frameworks.
Train nerds are a weird bunch.
Please never change.
The long-term goal is for Rust to overtake C in the kernel (from what I understand
Your understanding wrong. Rust is limited to some very specific niches within the kernel and will likely not spread out anytime soon.
critical code gets left untouched (a lot of the time) because no one wants to be the one that breaks shit
The entire kernel is “critical”. The entire kernel runs - kind of by definition - in kernel space. Every bug there has the potential for privilege escalation or faults - theoretically even hardware damage. So following your advice, nobody should every touch the kernel at all.
Germany has a Sovereign Tech Fund for exactly this, and while it’s not perfect, it’s one of the better uses of my tax euros.
And who does that?
I think you don’t really get my point. I’m not arguing that there are no ways to archive data. I’m arguing that there are no technologies available for average Joe.
It is hardly a good strategy to basically set up half a datacenter at home.