Hmmm. The NVMe standard has existed since 2011, and Samsung released their first commercially-available drive with it in 2013. So Microsoft has had at least 12 years to make nvmedisk.sys the standard driver for these disks.

You use his work and derivatives of it every day.

https://en.wikipedia.org/wiki/Rob_Pike

He’s in Australia. It was already the 15th there when he posted that, but the person you’re responding to isn’t in Australia and the blog they copied and pasted from probably compensated for time zones.

Edit: Or it’s a typo from a stressed and frantic person.

A software developer found out that the failing company they’re at, which was winding down for business reasons, decided to try becoming a zombie company by replacing its software stack (and employees) with a vibe-coded SaaS piece of garbage that’s broken in dozens of ways.

You do know you can use AD with Linux, don’t you?

Yeah, I have never spent “days” setting anything up. Anyone who can’t do it without spending “days” struggling with it is not reading the documentation.

I’m a software developer and my company is piloting the use of LLMs via Copilot right now. All of them suck to varying degrees, but everyone’s consensus is that GPT5 is the worst of them. (To be fair, no one has tested Grok, but that’s because no one in the company wants to.)

On top of that, there’s so much AI slop all over the internet now that the training for their models is going to get worse, not better.

They’ll ask their parents, or look up cooking instructions on actual websites.

Venture capital drying up.

Here’s the thing… No LLM provider’s business is making a profit. None of them. Not OpenAI. Not Anthropic. Not even Google (they’re profitable in other areas, obviously). OpenAI optimistically believes it might start being profitable in 2029.

What’s keeping them afloat? Venture capital. And what happens when those investors decide to stop throwing good money after bad?

BOOM.

There are tricks to getting better output from it, especially if you’re using Copilot in VS Code and your employer is paying for access to models, but it’s still asking for trouble if you’re not extremely careful, extremely detailed, and extremely precise with your prompts.

And even then it absolutely will fuck up. If it actually succeeds at building something that technically works, you’ll spend considerable time afterwards going through its output and removing unnecessary crap it added, fixing duplications, securing insecure garbage, removing mocks (God… So many fucking mocks), and so on.

I think about what my employer is spending on it a lot. It can’t possibly be worth it.

Yeah, code bloat with LLMs is fucking monstrous. If you use them, get used to immediately scouring your code for duplications.

After working on a team that uses LLMs in agentic mode for almost a year, I’d say this is probably accurate.

Most of the work at this point for a big chunk of the team is trying to figure out prompts that will make it do what they want, without producing any user-facing results at all. The rest of us will use it to generate small bits of code, such as one-off scripts to accomplish a specific task - the only area where it’s actually useful.

The shine wears off quickly after the fourth or fifth time it “finishes” a feature by mocking data because so many publicly facing repos it trained on have mock data in them so it thinks that’s useful.

In our case, there are enough upper management folks who are opposed to it that I doubt it will last or ever be enforced. For people like me, it really doesn’t make any sense to enforce it in the first place, because all of my teammates are in other states and countries.

Making me go to the office just means you can’t schedule early meetings with me, because I’ll be commuting during that time.

My office just did the same thing. And the backlash is enormous. No one wants it. No one likes it.

The funny thing is that I’m actually an Arch user. I’m just not a dick about it.

Yeah, this sucks. Use the distro you like, people.

That’s how it’s done, yep.

Not the person you asked, but I do that sometimes. For instance, when I want to watch a specific video but I don’t want having watched it to affect other video recommendations.

There’s also the fact that what we are currently calling AI isn’t, that there are better options that aren’t environmental catastrophes (I’m hopeful about small language models), and that no one seems to want all the “AI” being jammed into every goddamn thing.

No, I don’t want Gemini in my email or messaging, I want to read messages from people myself. No, I don’t want Copilot summaries of my meetings in Teams, half the folks I work with have accents it can’t parse. Get the hell out of my way when I’m trying to interact with actual human beings.

And I say that as someone whose job literally involves working with LLMs every day. Ugh.