Weird how the only reasons you see articulated are ones deeply rooted in liberalism though.

Ultimately, the most performative folks are those judging others without making something better themselves.

I guess we can agree on something. People screeching about AI without actually doing anything productive are the worst.

The difference is that China actually deals with corporations when they act shitty as happened with Alibaba and Jack Ma because China has a dictatorship of the proletariat which creates different material conditions from the dictatorship of capital you have in burgerland. No exceptionalism needed to explain this, just minimal capacity for critical thought that some people lack.

Stop trying to take performative outrage away from liberals, it’s literally their whole identity.

You do realize LLMs are made outside the US as well. I have zero problem with Chinese companies making LLMs that are released in the open and you can even run on your own hardware.

While that’s true, a lot of the enterprise still runs on Windows, and that’s where a lot of money is. Also, while you certainly can live without Windows today, vast majority of non-technical people simply aren’t going to want to change. Unless Windows gets so bad that it starts driving people to find alternatives, it’s going to be very hard to displace.

I’m far more optimistic about this happening in China because there is a national effort to become technologically self sufficient, and that means getting off Windows on a national level. And we already see Huawei designing HarmonyOS along with their own hardware, which isn’t tied to any legacy tech.

Again, the suggestion that new forms of automation should not be accepted on the same basis as slavery is imbecilic beyond belief. You are a clown.

I’m guessing it’s the Windows desktop monopoly. I’d love a laptop with a chip like M series in it that could run Linux, but the market is just too small for that. Everything except the chip itself is pretty standard and any company could make. But designing and producing the chip itself is still a hard problem. There is some hope though because there is an effort to do this in China right now https://xiangshan.cc/en/

Ah yes, new form of automation is just like slavery. You are so very intelligent.

It’s pretty clear that this tech has been accepted already outside a few fringe online communities.

apparently this is too hard a concept for a lot of people on here to wrap their heads around

The whole energy use argument is deeply misguided because it rests on the assumption that the situation would be different without AI tech. That is completely at odds with historical precedent where we already saw the same pattern with stuff like crypto. Other things like streaming media also use huge amounts of energy. Singling out this one particular tech seems strange to say the least. And of course, the actual problem stems from the way capitalism works, and if you’re genuinely concerned about this then focus on that. As long as capitalist relations continue, energy waste will continue to be baked into the system.

And it’s so very American of you to assume that everybody should care about what’s going on in your failed state. The fact is that this tech is being developed in China as well where these problems don’t exist. Which comes back to my previous point that the issue is with the capitalist relations rather than the technology itself.

The efficiency of these systems is improving at an incredible speed. You can run local Qwen today on a consumer grade laptop that beats a frontier model from less than a year ago. In a year or two, local models will be the norm for programming. The whole hyperscale compute thing is just a brief mainframe era of this tech. So, using that as an argument is just silly.

Meanwhile, all content is human made because LLMs are just a tool that a human uses. This whole narrative is frankly bizarre beyond belief.

I don’t know if you were aware, but burgerland doesn’t have a monopoly on LLM development. And nowadays there are competent models you can even run locally that work just fine for coding.

This whole trope that AI is very resource intensive is completely outdated, while people like you just keep parroting it uncritically. You’re certainly not going to be solving extreme climate change by banning LLM assisted code on a niche community. This is the most lib brained take ever.

I strongly disagree with this. The reality is that using LLMs to build things is becoming increasingly more common. And just because something is built using LLMs doesn’t automatically make it slop or useless. There are plenty of genuinely useful open source projects built with these tools, and just because you’re personally opposed to that is not a reason to ban them outright.

This is why we have the voting system on Lemmy as well. If people post slop whether it’s human or LLM assisted, then it can get downvoted naturally. I also see zero evidence of this community drowning in any sort of slop.

That’s not what writing a program from scratch means lmfao.

It’s absolutely ethical to ignore copyrights.

LLM is a general purpose tool, it’s not trained on a specific task. Again, using this logic you’d have to train a human developer from scratch for every program you write.

Simple answer is that there’s still nothing comparable to M architecture. It has the benefit of unified memory and SoC which eliminates the bus. And being RISC, it has small fixed size instructions which can be read in batches, then any instructions that don’t have a dependency within the batch can be executed in parallel. This makes it possible to just add more cores and parallelize against them. You can’t do this with CISC because instructions are all different length, and figuring out the dependencies and what needs to be read into a batch becomes expensive really fast negating the gains of running stuff in parallel.

By that definition no human programmer writes anything from scratch either.

clearly that didn’t help you much