Probably a Linux nerd (on /.? The hell you say) that carried the xST vs xDT timezone markers before the brain caught up that "Standard" and "Saving" are both "S"

> next will be Jedi training school full of pointless teen angst.

Wasn't that "The Acolyte"?

> Heh, I've never heard that term before.

It's an acronym for "jack of all trades."

What, you mean you're not convinced to grab the no-name alpha-release "privacy browser" that cripples yourself if you don't let them MITM you?

It wasn't that hard - Netscape came on floppies, too.

A lot of people want a Mac because they have a nice form factor and they work in the Apple ecosystem. Macbooks were a bit expensive. It's obvious that an iPad masquerading as a Macbook was going to work, because a lot of people like a proper keyboard and don't need touchscreen. Macbook Neo fits a perfect niche. I'm not surprised by its success, I'm just surprised that Apple are. I'm stunned their business case didn't imagine bigger volume. Why buy a more expensive Macbook for basic admin, web browsing, and streaming?

You may be right - I guess I've been thinking too much about Mars missions where it's a lot more important. The moon isn't that far away that it makes a big difference, from what you say.

Reasonable to assume that, in fact, we might choose to fly to the moon when it's closer to perigee.

It's become very "I built this with AI" and "how your business is going to improve with AI" and all sorts of terrible content, and GAMES! WTF.

Glad to see that /. is still good for the occasional and perfectly-executed Star Trek reference.

LLM-based AI can do some pretty impressive things. It *seems* to answer questions with remarkable accuracy, and it instantly produces code in response to often ridiculously vague input queries:

"Write me an app to track ant farms in Vietnam"

And what do you know? You get something that seems surprisingly useful!

Except that it's all an illusion.

I'm an experienced software developer (25 years now) and I focus on information lifecycle apps targeting workgroups and enterprise - organizations of 50+ people. As I write this, about 20,000 people are concurrently using an app I created.

Over the past year or so, I've been trying to deeply integrate AI into my workflow. It's there when I write code in VSCode, it's there when I write sysadmin/shell code, and it's there when I'm refactoring.

The more I use it, and the "better" it gets, the more frustrating I find it. It's only somewhat useful in the area that most coding projects fail: debugging.

No matter what it seems, LLM-based AI doesn't *understand* anything. It's just an ever-more-clever trickery based on word prediction. As such, it serves only as another abstraction that still must be understood and reviewed by a real person with actual understanding, or the result is untrustable, unstable, and insecure "vibe code" that is largely worthless outside of securing VC funding, which is the thing that AI perhaps does best: help unprepared people get VC funding.

You still need real people to get code you can live with, depend on, and grow with.

Exactly. This is why my blood pressure spikes whenever I see some damn kid (#GOML) squeaking that "comments are a code smell."

The original point has been lost, corrupted into cargo-cult stupidity.

People have been worrying about AI for a while now. Now, at least when the AI goes haywire and starts taking things over, we'll have a little blue one who can save the day.

Yeah, it's just bad "UX" on top - the "internal" drive icon looks more like an external drive than the "external" drive does.

Execute "Reindeer Flotilla"