Can someone explain what is going on here?

Oppenheimer is a mainstream movie though. It’s not that geeky.

Cats being predators are meant to kill things. If this causes a problem in your area, it’s a sign cats weren’t meant to be in that area and you should probably stop buying them and domesticate some native wildlife instead.

This is false. Anyone who has used these tools for long enough can tell you this is false.

LLMs have been used to write computer code, craft malware, and even semi-independently hack systems with the support of other pieces of software. They can even grade student’s work and give feedback, but it’s unclear how accurate this will be. As someone who actually researches the use of both LLMs and other forms of AI you are severely underestimating their current capabilities, never mind what they can do in the future.

I also don’t know where you came to the conclusion that hardware performance is always an issue, given that LLM model size varies immensely as does the performance requirements. There are LLMs that can run and run well on an average laptop or even smartphone. It honestly makes me think you have never heard of LLaMa models inc. TinyLLaMa or similar projects.

Future LLMs will still only have this capability, but since their models will have been trained on LLM generated garbage their results will quickly diverge from anything even remotely intelligible.

You can filter data you get from the internet to websites archived before LLMs were even invented as a concept. This is trivial to do for some data sets as well. Some data sets used for this training have already been created without LLM output (think about how the first LLM was trained).

Sources:

• https://arxiv.org/abs/2402.06664
• https://doi.org/10.1145/3607505.3607513
• https://medium.com/google-developer-experts/ml-story-mobilellama3-run-llama3-locally-on-mobile-36182fed3889
• https://github.com/jzhang38/TinyLlama
• Both my own personal direct experience and the experience of my research supervisor, with a dash of basic computer systems knowledge

LLMs have legitimate uses today even if they are currently somewhat limited. In the future they will have more legitimate and illegitimate uses. The capabilities of current LLMs are often oversold though, which leads to a lot of this resentment.

Edit: also LLMs very much are AI (specifically ANI) and ML. It’s literally a form of deep learning. It’s not AGI, but nobody with half a brain ever claimed it was.

The problem is that some people like me won’t get that reference and instead think AIs are universally bad. A lot of people already think this way, and it’s hard to know who believes what.

AI at this stage is just a tool. This might change one day, but today is not that day. Blame the user, not the tool.

AI and ML was being used to assist in scientific research long before ChatGPT or StableDiffusion hit the mainstream news cycle. AIs can be used to predict all sorts of outcomes, including ones relevant to climate, weather, even medical treatment. The University I work for even have a funded PhD program looking at using AI algorithms to detect cancer better, I found out because one of my friends is applying for it.

The research I am doing with AI is not quite as important as that, but it could shape the future of both cyber security and education, as I am looking at using for teaching cyber security students about ethical hacking and security. Do people also use LLMs to hack businesses or government organisations and cause mayhem? Quite probably, and they definitely will in the future. That doesn’t mean that the tool itself is bad, just that some people will inevitably abuse it.

Not all of this stuff is run by private businesses either. A lot of work is done by open source devs working on improving publicly available AI and ML models in their spare time. Likewise some of this stuff is publicly funded through universities like mine. There are people way better than me out there using AIs for all sorts of good things including stopping hackers, curing patients, teaching the next generation, or monitoring climate change. Some of them have been doing it for years.

This was maybe a good point to make back during the pandemic when programmers actually had good job opportunities and could find somewhere else. Nowadays you will struggle to find a job as a programmer unless you have lots of experience. So people have to take any job they can get, whether they like it or not. Some people working in this field have gotten themselves into financial trouble doing things like buying houses based on their salary and then getting fired and only having lower paying positions available.

I mean writing systems are not a part of the real spoken language and how it evolved. I think it’s fine to be prescriptivist about writing systems as many did not evolve naturally anyway, and many could be made far easier to learn and use. You shouldn’t mess with spoken language as that’s the part that did evolve naturally and is still subject to evolution. The focus though should always be on making these writing systems simpler and a better reflection of the spoken language. Hangul is a great example of prescriptivism over writing systems.

I think that has more to do with your system and the quality of Bluetooth audio than it does the specific game or application.

Others have mentioned existing efforts to form reproducible results. So, this might be irrelevant now; but I’m fairly sure if the mindset was “open source compilers are always better than extremely expensive ones”, the expensive ones wouldn’t have a reason to exist.

Actually their reason to exist is that some software and hardware platforms don’t have a real open source alternative.

I have a friend who works with some of these compilers, and also with low level assembly language and stuff. He tells me most of the closed source compilers he works with are way behind the open source ones including Microsoft’s compiler. I’ve seen some evidence of this myself too. The reason people use the Microsoft one is because it integrates better with the Windows APIs and Visual Studio, or just because they don’t know better. I believe Microsoft even have an initiative to integrate LLVM into Visual Studio because they know how bad their compiler is in comparison. Since it’s by a large company specialising in systems software theirs is probably one of the better examples.

In the Apple ecosystem they use LLVM for C and C++. The only stable Rust compiler afaik is LLVM based, though they are working on their own alternative which will also be open source.

This doesn’t make sense as the compilers would also be included in this new copyright scheme and would become public property after so much time.

There are open source compilers for all major CPU architectures. In fact the open source compilers regularly outperform the closed source ones. It’s also not exactly that difficult to add on more architectures to an existing compiler these days thanks to the modular way modern compilers are built. Once you build a backend for LLVM you unlock not just one language but about a dozen.

Gentoo isn’t immutable or declarative afaik

What is a better implementation than NixOS? Guix is held back by the fact that it’s GNU only by default, and that it also compiles everything on your machine by default. You have to go out of your way to add a binary cache and speed up the install. That’s after you go out of your way to enable non-free packages so that your hardware can actually work with the right firmware. If someone made a version with those enabled by default things would be way quicker to setup and use

That explains why Nix despite being parallelized takes a long time to install packages and rebuild the configuration.

You can change continent without crossing the Atlantic.

Maybe look at plants and fungi and how they do it.

Why doesn’t lemmy at least have pinned comments and flairs? Seems like a serious omission to me.

The solution here isn’t to upgrade your PC for Microsoft’s sake. The solution is to use an OS that actually respects you and your time. Use Linux, or FreeBSD, or even macOS. Alternatively install Gentoo and spend even more time updating, but with spectacular performance and customizability when you’re not updating.

Okay I am not going to lie I am pretty lost as to what you are saying here. I read this twice and I am still confused.

What does working on open source projects have to do with the culture war? Also what do you mean by culture war? Do you believe like some leftists do that it’s all a distraction? Or do you think like the right wing do that it’s a leftist conspiracy to changes some countries values? Or another third thing I don’t know about?

Who is an American uniparty?

By new Microsoft do you mean how they have changed with regards to Open Source? I mean they actually release open source software now, and don’t fight as much against Linux and other communities. Presumably because they realised they can’t fight Linux. Do you think this is a bad thing? They obviously aren’t a benevolent force for good, but I personally prefer the new attitude to the old one at least.