What do you mean, primarily? You don't need a primary language. You can have it translated in every official language in the EU. It can be translated at scale very easily. As an EU wide project it is absolutely no trouble at all.

No, we have not. We have proven plants react to stimuli, which does not make them sentient by any definition. Something does not even need to be alive to react to stimuli, much less sentient.

I'm curious to see how this will go.

My guess is: When the products were sold, the price was simply higher and the tariffs not mentioned on the invoices. Customer did not pay taxes themselves, they agreed to pay a high price. Of course everyone knew why, but I doubt a capitalistic country like the US will rule in favor of the customers here, unfortunately.

In most cases, you either optimize the memory, or you optimize the speed of execution.

Having more memory means we can optimize the speed of execution.

Now, the side effect is that we can also afford to be slower to gain other benefits: Ease of development (come in javascript everywhere, or python) at the cost of speed, maintainability at the cost of speed, etc...

So, even though you dont always see performance gains as the years go, that doesn't mean shit devs, it means the priority is somewhere else. We have more complex software today than 20 years ago because we can afford not to focus on ram and speed optimization, and instead focus on maintainable, unoptimized code that does complex stuff.

Optimization is not everything.

I'd bet on that as well. It is big tech's master plan.

Also, despite any form of consciousness they might have is alien to us, plants very likely experience pain

No. They have a response to stress, which is wildly different from experiencing pain. And that's what your source is about.

Your source refers neither to the word "pain" nor to the word "experience". Please don't mislead people with your own misinterpretations.

Are we gatekeeping meme templates, really? Damn.

It's an excuse. A bullshit one. The real reason for this "problem" being addressed is that the meat industry is threatened, and lobbies hard to fight the plant based industry.

But they will lose, eventually.

Per its nature, tor is definitely going to create a lot of noise in your capture. Shut it down and try again, see if you still have so many connections.

It is highly unlikely that you have malware that you can't see, so if you still see them after shutting down tor, use tools that tell you which app has established connections.

True for the phone and tablet, but for any sort of computer that is not true

I work on a laptop with virtual desktops and I am much more productive that way than with a big screen... Or two big screens.

Everything is in the center of my field of view, I know which VD of my 3x3 grid holds what. It's much more efficient for me than bigger screens could ever be. And that is not for lack of trying!

It just depends on the person.

if the only point of hiring junior devs were to skill them up so they’d be useful in the future, nobody would hire junior devs

I never said that, and a single review already will make a junior dev better off the bat

LLMs aren’t the brain: they’re exactly what they are… a fancy auto complete

I agree, but then you say...

type a function header, let if fill the body… as long as you’re descriptive enough and the function is simple enough to understand (as all well structured code should be) it usually gets it pretty right: it’s somewhat of a substitute for libraries, but not for your own structure

...which says the other thing. Implementing a function isn't for a "fancy autocomplete", it's for a brain to do. Unless all you do is reinventing the wheel, then yeah, it can generate a decent wheel for you.

let it generate unit tests: doesn’t matter if it gets it wrong because the test will fail; it’ll write a pretty solid test suite using edge cases you may have forgotten

Fuck no. If it gets the test wrong, it won't necessarily fail. It might very well pass even when it should fail, and that's something you won't know unless you review every single line it spits out. That's one of the worst areas to use an LLM.

fill lines of data based on other data structures: it can transform text quicker than you can write regex and i’ve never had it fail at this

I'm not sure what you mean by that.

let it name functions based on a description… you can’t think of the words, but an LLM has a very wide vocabulary and - whilst not knowledge - does have a pretty good handle on synonyms and summary etc

I agree with that, naming or even documenting is a good way to use an LLM. With supervision of course, but an imprecise name or documentation is not critical.

This is a very cynical point of view that would make it even less possible for independants to be represented in the House, remove town halls from the system, and therefore make the entire system even less democratic and remove the entire point of a representative democracy.

There is zero benefit to this.