You can run your own IdP on your network

Having this LLM bullshit in Notepad should be the real news

Wow. They managed to grab such a star after how Intel has been excelling in the important field of AI recently. Nokia does it again

If only you could use ChatGPT during an interview the same way as when you’re employed. Then everyone would finally recognize how outstanding you are

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

Thanks for providing the additional clarifications, I think pretty much all of it is valid, I just have a slightly different perspective.

Most people would likely agree with you that investing into a home through dept is reasonable. I don’t disagree.

I also agree that you can utilize loaned capital in a way that your earnings outperform the debt incurred.

You’re still gambling though. You can not afford to lose your home, or that loaned capital. Maybe you feel like your chances are good, and maybe they really are, but you’re relying on your personal prediction of the future to ultimately resolve that debt.

A “real” investment is just as much gambling, but the fallout from failure is entirely different.

Just FYI for whoever needs to read this: If you go into debt for a single investment, it’s a mistake. You are supposed to invest your excess, into as many isolated pools as reasonable. If you’re part of the majority of the population, which doesn’t have an excess, you are not investing - you are gambling.

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.

That’s a good point, and I don’t really have enough insights to properly respond to that. I did think about Peertube, and I believe that a site like TikTok is different, because it relies on the ability to broadcast a large number of short videos, specifically with lots of skips.

Streaming one video for several minutes, and skipping between numerous videos every couple of seconds, is orders of magnitude more expensive. Video compression works on the idea that you store entire pictures rarely, and then just encode the difference between each frame. When you constantly need the start of videos, you constantly need the full picture of the first frame. This induces a much higher bandwidth requirement than with video that streams for several minutes continuously. Also consider the response time that is required to make the TikTok experience work. Then also consider that you need to attract enough content contributors to make this work. You can’t just upload some ancient archive of 45 minute videos. You need to drive the machine.

So, to produce a TikTok experience, you also need to design for an attractive ingress of free content.

This is just not replicable in a free environment.

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?

Nobody pays for that much bandwidth without the ability to manipulate you through profiling and impressions. You are the product. The product is not sharing videos. There is no fediverse platform that makes you its whore. If you were to make a video sharing platform, it would never work, because that is not the product, it’s only a feature of what makes up the dopamine machine.

Lemmy will also never outgrow commercial platforms, because the commercial platforms also never were about content.

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

Operator overloading allows you to redefine what each operator does. It’s essential to achieve a truly fucked up code base

Do it anyway. Having anything behind a TLD that is tied to the political control of a tiny geographic area is insanely careless