I believe writing the pure kernel is doable in time, but Linux has a ton of drivers, also implemented in C. I also believe it’s not unreasonable to assume that those are the source of most of the issues that Rust would solve. I’m nowhere close to actual kernel development myself though either.

Migrating such a huge, complex code base over however as much time to a different language seems completely unrealistic to me though. What you’re saying is right. It makes more sense to keep a pure C Linux kernel and work on a replacement in parallel. No matter how great a new language is, you can’t expect an entire community of seasoned contributors to adopt it. It’s unreasonable

Billions of completely unrelated developments of niche topics in languages most people don’t understand and then also hundreds of competing solutions to the same problems.

This reads like an angry response to what Proton has been doing very recently.

Take a moment to reflect how you started to use their services. Really think about what you thought at the time about them being the right service for your needs.

Did anything really change for you, other than thinking your porn download history is now as safe as Nazi gold in Switzerland?

Take the next step, and don’t look back.

I actually personally fully agree with you.

I just see a different picture in the industry. Decision makers also use AI to evaluate your work. If the AI judges that your solution is not good, you face more resistance than if you submitted a solution close to the AI expectations. You are inherently incentived to not introduce original thought beyond what your executives can have explained to them by AI anyway.

I fully understand that this is short-sighted behavior, but it’s real bottom-line-thinking of today.

There are few reports of this directly from the industry, because nobody wants to admit talent shortage. It’s a much better sell to claim that you pivot towards AI.

I’m an enterprise consultant for technology executives, and work mostly as a platform architect for a global enterprise. The scale of this issue is invisible to most people.

I know this is basically “trust me, bro”, and I wish I had more to show, but this evolution is in plain sight. And it’s not like AI introduced this problem either. I’m old. Still, take my Internet connection away from me, and watch me struggle to figure out if I want .includes() or .contains() on a JS array. There is a scale.

The problem is that we’ve reached a point where it’s easier to generate a convenient result that communicates well, instead of the “correct” solution that your executives don’t understand. Decision makers today will literally take your technical concept from your presentation to have it explained to them by an LLM afterwards. They will then challenge you and your concept, based on their interactions with the LLM.

LLMs are continuously moved towards a customer-pleasing behavior, they are commercial products. If you ask them for something, they are likely to produce a response that is as widely understood as possible. If you, as a supposed expert, can’t match those “communication skills”, AI-based work will defeat you. Nobody likes a solution that points out unaddressed security issues. A concept that doesn’t mention them, goes down a lot easier. This is accelerated by people also using AI to automate their review work. The AI prefers work that is similar to its own. Your exceptional work does not align with the most common denominator.

You can’t “just Google it” anymore, all results are LLM garbage (and Google was always biased to begin with as well). All source information pools are poisoned by LLM garbage at this point. If you read a stack of books and create something original, it’s not generally understood, or seen as unnecessarily complicated. If you can ask an AI for a solution, and it will actually provide that, and everyone can ask their LLM if it’s good stuff, and everyone is instantly happy, what are the incentives for developers to resist that? Even if you just let an LLM rewrite your original concept, it will still reach higher acceptance.

You also must step outside of your own perspective to fully evaluate this. Ignore what you believe about LLMs helping you personally for a moment. There are millions of people out there using this technology. I attended seminars with 100+ people where they were instructed on “prompting” to generate technical documentation and compliance correspondence. You have no chance to win a popularity contest against an LLM.

So why would I need you, if the LLM already makes me happier than your explanations I don’t understand, and you yourself are also inherently motivated to just use LLM results to meet expectations?

Yes, I know, because my entire enterprise will crumble long-term if I buy into the AI bullshit and can’t attract actual talent. But who will admit it first, while there is so much money to be made with snake oil?

The sad truth is, we hardly have any software engineers anymore. Trying to find one that is not a prompt monkey has become a serious challenge. Especially new “talent” is a waste of money. You wish it wasn’t so, but AI is on par with engineers. Especially when those engineers just end up using LLMs. Even people who want to learn now have a poisoned well where facts are impossible to find

It’s strange that the role of the creative is viewed as vital to the wellbeing of society – even wartime armies have entertainment corps – but when authors turn out their pockets to demonstrate what “broke” really means, they are told that they must pursue their art for art’s sake, that the love of writing will sustain them.

Okay. Says who?

I heard this phrase once: Trying to save the ecosystem with domesticated bees is like trying to save biodiversity by putting up another cattle ranch.

I’ve been maintaining multiple release channels for most of my projects. I always have a nightly build and a dev build that I run manually or on every push. Actually versioned releases either happen directly after completing a milestone or when the release schedule calls for it.

The product is spyware by design. It’s a honey pot for people trying to save a few bucks, while exposing their entire browsing behavior. They even called it honey…

Technically speaking, there was an insurgence when Trump lost the election

I really hate it when global warming fucks up my snowmobile fun

Increase how often the drones call the mothership, excellent.

I’ve also put wood panels on my car to save the environment. It’s pretty useful.

Yeah, I’ve been with you. I owned a couple .so from Somalia for a while. They cranked up the cost to $$$ and I had to cancel it. I’m not a smartass, I just burned myself already in the past

Hopefully Chivas Regal and cocaine

Maybe I’m just old, but I thought a distribution is literally just a package delivery basically, just like you speculated. Making software work together nicely is actually already hard enough IMO. I don’t think anything is wrong. Valid question though

The eyes probably look super weird and people are supposed to focus on the bump on the head

This is nothing new. You can buy these USB cable testers on Amazon or directly from Alibaba. They just put some fancy visualization on top so you don’t have to look up what the individual LEDs on the tester mean.

As others have generally noted about Kickstarter, this is just another scam with cheap Chinese gadgets.

Username definitely checks out