Well, to make your metaphor more fitting, the whole town would have to be owned by your supermarket chain and they chose to put the town hall into one of their stores.

Now the court forces them to hand out build permits also for competing supermarkets.

I just want to turn the thing on and play Factorio or Minecraft, not figure out if my 4080 will run on it etc.

Funny that you chose two games that run natively on Linux.

Filming, duh.

the fact that they’re microscopic might be an issue

Why? All that means is you may already have one without knowing it.

Standby pointlessly draws power. I switch off all devices that don’t run on battery for that reason. But I’m not exactly Apple’s target audience anyway since I also consider the price before buying stuff.

This article focuses to much on the glasses/face recognition tech while the actual problem is the database with of personal information and its public accessibility.

whatever overpriced gaming laptop comes working out of the box.

Not an Apple one, for sure.

They also know their target audience has plenty of people who gobble up every bad design decision and even defend it online years later.

Is it? I wouldn’t know, never checked it out. Then I gave the wrong example. I’m still reading quite regularly that some platforms have general profanity filters - maybe even Reddit nowadays?

That’s what I don’t get about what they said above. If the Windows desktop freezes up, Task Manager won’t open either (happened to me quite some times over the years - less so since they moved to the NT kernel though). What you mentioned always works short of kernel panic.

Probably due to cross-posting to censoring shit-platforms like TikTok.

Dangerous attitude when it comes to itsec.

Well, they gotta have the expertise. Engagement optimizing systems like YouTube’s suggestion feed are known to move users towards outrage.

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Don’t say AI when you mean AGI.

By definition AI (artificial intelligence) is any algorithm by which a computer system automatically adapts to and learns from its input. That definition also covers conventional algorithms that aren’t even based on neural nets. Machine learning is a subset of that.

AGI (artifical general intelligence) is the thing you see in movies, people project into their LLM responses and what’s driving this bubble. It is the final goal, and means a system being able to perform everything a human can on at least human level. Pretty much all the actual experts agree we’re a far shot from such a system.

If you go back to my example, you’ll notice there is a UserUniqueValidator, which is meant to check for existence of a user.

Oops, right, I just glanced over the code and obviously missed the text and code had different class names. Another smell in my opinion, choosing class names that only differ in the middle. Easily missed and confusion caused.

I don’t think our opinions are too far off though. You’re just scaling the validation logic to realistic levels and I warn that in practice coders extrapolate too quickly and too often, which results in too much generic code which is naturally harder to understand and maintain than specific code.

I would argue that the validate routines be their own classes; ie UserInputValidator, UserPasswordValidator, etc.

I wouldn’t. Not from this example anyway. YAGNI is an important paradigm and introducing plenty of classes upfront to implement trivial checks is overengineering typical for Java and the reason I don’t like it.

Edit: Your naming convention isn’t the best either. I’d expect UserInputValidator to validate user input, maybe sanitize it for a database query, but not necessarily an existence check as in the example.

government emails stored in Microsoft’s cloud

Firefox needs to work on ensuring seamless compatibility with more websites, web apps and so on

Care to share some examples Firefox has trouble with? The only issues I have with websites is due to my aggressive use of Noscript.

My farts in a sealed bucket are extremely limited and yet I haven’t found a single buyer.