Farid

If you’re talking about an app that exist solely as Electron, then you might be right. But the primary benefit of Electron is that you can distribute your already existing webapp as a downloadable app, which reduces the amount of maintenance significantly.
Also, when it comes to UI diversity and customization, nothing beats HTML+CSS.

And as you mentioned, there’s a looot of webdevs. Electron empowers those people to easily create applications. Which they did, they created many useful apps. An application that isn’t perfect resource usage-wise is often much better than no application at all.

Think of Minecraft. Java is arguably the worst language to use for a chunk-based 3D game. But it’s still better than no Minecraft at all.

Fair enough.

My parents didn’t tell me :'(

But RAID is backup if it’s backup…

I think the way you worded it doesn’t make it obvious that you’re criticizing the graph specifically and not the os, hence your downvotes. But yes, that graph is absolute mess.

Yeah, and Linux is green all the way through, even though according to the depicted MacOS scale it should only be hitting bright yellow levels at the peak.

deleted by creator

I’ll have you know, that I have it on good authority (from the ever rational and totally not an echo chamber Hexbear) that the invasion is actually very successful and Russia is winning. By a lot!

If that was the intent, why did they fail the previous 4 years?
Did they undye her hair right before the picture, too?

I’m not agreeing or disagreeing with the point, but all those duel things were mostly about honor and usually among the elites. A lot of them “had” to do it even if they didn’t want to, because of the social norms and stuff.

PipeWire is a server and user space API to deal with multimedia pipelines. This includes:

• Making available sources of video (such as from a capture devices or application provided streams) and multiplexing this with clients.
• Accessing sources of video for consumption.
• Generating graphs for audio and video processing.

Nodes in the graph can be implemented as separate processes, communicating with sockets and exchanging multimedia content using fd passing.

Yeah, ok. I suppose that helps a bit. This kind of ambiguity exists in pretty much all languages, but good to know there’s some justification for that rule.

See my other comment in the thread, it applies to pretty much all languages that capitalize letters.

It’s just so weird, I know many languages, some don’t use capitalization at all, sure, but all that do use it do it for names and start of sentences. Sometimes whether a word is a name or a noun is different from language to language (for example language names, some capitalize them, some don’t), but is a separate issue.
And languages make grammatical changes even to this day, it’s never too late to change something that has no benefit or hinders the usage.

Oh. So what’s the point of capitalizing things if it doesn’t help to differentiate a name from a regular noun?

But why is “children” capitalized?

I’m not redefining anything, I’m just pointing out that intelligence is not as narrow as most people assume, it’s a broad term that encompasses various gradations. It doesn’t need to be complex or human-like to qualify as intelligence.

A single if statement arguably isn’t intelligence, sure, but how many if statements is? Because at some point you can write a complex enough sequence of if statements that will exhibit intelligence. As I was saying in my other comments, where do we draw this line in the sand? If we use the definition from the link, which is:

The highest faculty of the mind, capacity for comprehending general truths.

Then 99% of animal species would not qualify as intelligent.

You may rightfully argue that term AI is too broad and that we could narrow it down to mean specifically “human-like” AI, but the truth is, that at this point, in computer science AI already refers to a wide range of systems, from basic decision-making algorithms to complex models like GPTs or neural networks.

My whole point is less about redefining intelligence and more about recognizing its spectrum, both in nature and in machines. But I don’t expect for everybody to agree, even the expert in the fields don’t.

Opponent players in games have been labeled AI for decades, so yeah, software engineers have been producing AI for a while. If a computer can play a game of chess against you, it has intelligence, a very narrowly scoped intelligence, which is artificial, but intelligence nonetheless.

I would put it differently. Sometimes words have two meanings, for example a layman’s understanding of it and a specialist’s understanding of the same word, which might mean something adjacent, but still different. For instance, the word “theory” in everyday language often means a guess or speculation, while in science, a “theory” is a well-substantiated explanation based on evidence.

Similarly, when a cognitive scientist talks about “intelligence”, they might be referring to something quite different from what a layperson understands by the term.

In a way, yes, if you frame it right. To simplify, you’re basically asking “is a calculator intelligent?”, right? While it’s an inanimate object, you could say that, in a way, it acquires knowledge from the buttons user presses and it applies knowledge to provide an output.

“But that’s not making decisions, it’s just circuits!”, you might say. To which I might reply “Who’s to say that you’re making decisions? For all we know, human brains might also just be very complicated circuits with no agency at all, just like the calculator!”.

IIRC, in his book The Singularity Is Near, Ray Kurzweil even assigns certain amount of intelligence to inanimate objects, such as rocks. A very low amount of course, and it might be a stretch, but still.

So yeah, it’s really hard to draw a line for intelligence, which is why there’s no firm definition and no consensus.

Of course there are various versions of NPCs, some stand and do nothing, others are more complex, they often “adapt” to certain conditions. For example, if an NPC is following the player it might “decide” to switch to running if the distance to the player reaches a certain threshold, decide how to navigate around other dynamic/moving NPCs, etc. In this example, the NPC “acquires” knowledge by polling the distance to the player and applies that “knowledge” by using its internal model to make a decision to walk or run.

The term “acquiring knowledge” is pretty much as subjective as “intelligence”. In the case of an ant, for example, it can’t really learn anything, at best it has a tiny short-term memory in which it keeps certain most recent decisions, but it surely gets things done, like building colonies.

For both cases, it’s just a line in the sand.