Yes but their government is a literal theocracy thus things like this happen. If the country was officially secular then it wouldn’t happen and the few citizens who wanted this kind of stuff would have no say in anyone else’s life and might even be prosecuted if they tried to mess with others.

The real difference is that many if not all of the countries in your first list are officially secular. Thus I don’t consider them to be Muslim countries I consider them to be secular countries with a majority Muslim population. The religion and the state are separate.

The ones in your latter list are actual Muslim countries because Islam is their official state religion and some of them like Iran are literal theocracies.

Given that clarification I’ll ask again do you really expect better from a Muslim country?

That one dildo vape.

Nah. They do a good enough job killing each other. No outsiders needed.

Not at all with RPMFusion.

Hannah Montana Linux

Did you expect better from a Muslim country?

I strongly disagree.

That’s fair. I see what I see at an engineering and architecture level. You see what you see at the business level.

I respect that. Finance was my old career and I hated it. I liked coding more so I went back got my M.S. in CS and now do embedded software which I love. I left finance specifically because of what both of us have talked about. It’s all about using numbers to tell whatever story you want and it’s filled with corporate politics. I hated that world. It was disgusting and people were terrible two faced assholes.

That said. I stand by my statement because I and most of my colleagues in similar roles get continued, repeated and expanded-scope engagements. Definitely in LLMs and genAI in general especially over the last 3-5 years or so, but definitely not just in LLMs.

“AI” is an incredibly wide and deep field; much more so than the common perception of what it is and does.

I think I need to amend what I said before. AI as a whole is definitely useful for various things but what makes it a fad is that companies are basically committing the hammer fallacy with it. They’re throwing it at everything even things where it may not be a good solution just to say hey look we used AI. What I respect about you guys at Nvidia is that you all make really awesome AI based tools and software that actually does solve problems that other types of software and tools either cannot do or cannot do well and that’s how it should be.

At the same time I’m also a gamer and I really hope Uncle Jensen doesn’t forget about us and how we literally were his core market for most of Nvidia’s history as a business.

Now this is where I push back. I spent the first decade of my tech career doing ops research/industrial engineering (in parallel with process engineering). You’d shit a brick if you knew how much “fudge-factoring” and “completely disconnected from reality—aka we have no fucking clue” assumptions go into the “conventional” models that inform supply-chain analytics, business process engineering, etc. To state that they “never make mistakes” is laughable.

What I said was that traditional software if programmed correctly doesn’t make mistakes. As for operations research and supply chain optimization and all the rest of it, it’s not different from what I said about finance. You can make the models tell any story you want and it’s not even hard but the flip side is that the decision makers in your organization should be grilling you as an analyst on how you came up with your assumptions and why they make sense. I actually think this is an area where AI could be useful because if trained right it has no biases unlike human analysts.

The other thing to sort of take away from what I said is the “if it is programmed correctly” part which is also a big if. Humans make mistakes and we see it a lot in embedded where in some cases we need to flash our code onto a product and deploy it in a place where we won’t be able to update it for a long time or maybe ever and so testing and making sure the code works right and is safe is a huge thing. Tool like Rust help to an extent but even then errors can leak through and I’ve actually wondered how useful AI based tools could eventually be in proving the correctness of traditional software code or finding potential bugs and sources of unsafety. I think a deep learning based tool could make formal verification of software a much cheaper and more commonplace practice and I think on the hardware side they already have that sort of thing. I know AMD/Xilinx use machine learning in their FPGA tools to synthesize designs so I don’t see why we couldn’t use such a thing for software that needs to be correct the first time as well.

So that’s really it. My only gripe at all with AI and DL in particular is when executives who have no CS or engineering background throw around the term AI like it’s the magic solution to everything or always the best option when the reality is that sometimes it is and other times it isn’t and they need to have a competent technology professional make that call.

I hate that schools basically teach students to over use classes for everything especially by using Java as a teaching language and then they get into the real world or grad school and we have to unteach them those terrible habits.

I’m so glad a lot of the newer languages (Rust, Go, Zig, C3, V) don’t have classes in them at all.

Obfuscation Oriented Programming as I call it

In this case they’re blue and planning to resist because they’re run by democrats who aren’t Harris.

The most idiotic to me are the ones who protest voted for Trump over Palestine. Like you don’t think Harris supports Palestine enough so you go an vote for the person who would happily see it turned to rubble so long as the person doing it praises him.

Genius.

To state this as simply as possible: I wouldn’t have a job if our customers weren’t seeing tremendous benefit from AI technology.

Right because corporate management doesn’t ever blindly and stupidly overinvest in fads that blow up in their faces…

I work with typically are very sensitive to CapX and OpX costs of AI—they self-serve in private clouds. If it doesn’t help them make money (revenue growth) or save money (efficiency), then it’s gone—and so am I.

You clearly have no clue what you’re on about. As someone with a degrees and experience in both CS and Finance all I have to say is that’s not at all how these things work. Plenty of companies lose money on these things in the hopes that their FP&A projection fever dreams will come true. And they’re wrong much more often than you seem to think. FP&A is more art than science and you can get financial models to support any argument you want to make to convince management to keep investing in what you think they should. And plenty of CEOs and boards are stupid enough to buy it. A lot of the AI hype has been bought and sold that way in the hopes that it would be worthwhile eventually or that other alternatives can’t be just as good or better.

I’ve seen it happen; entire engineering teams laid off because a technology just couldn’t be implemented in a cost-effective way.

This is usually what happens once they finally realize spending money on hype doesn’t pay off and go back to more established business analytics, operations research, and conventional software which never makes mistakes if it’s programmed correctly.

LLMs are a small subset of AI and Accelerated-Compute workflows in general.

No one ever said otherwise. And we’re talking about AI only, no moving the goalposts to accelerated computing, which is a mechanism through which to implement a wide range of solutions and not a specific one in and of itself.

Well it should’ve gone to vote when it had the chance. We are in this mess because democrats did not go out to vote.

Next you’ll tell me the sky is blue.

ChatGPT is basically the best LLM of its kind. As for Nvidia I’m not talking about hardware I’m talking about all of the models it’s trained to do everything from DLSS and ACE to creating virtual characters that can converse and respond naturally to a human being.

Victoria from Reddit.

AI was 99% a fad. Besides OpenAI and Nvidia, none of the other corporations bullshitting about AI have made anything remotely useful using it.

Donald Trump