The states is literally running a proxy war against Russia using Ukraine, but yeah we’ll just ignore that important context because it doesn’t fit with the narrative you’re peddling right?

It’s a really convenient narrative based on the fallacy of homogenizing Ukraine. Let’s take a look at a few slides from this lecture that Mearsheimer gave back in 2015 to get a bit of background on the subject. Mearsheimer is certainly not pro Russian in any sense, and a proponent of US global hegemony. First, here’s the demographic breakdown of Ukraine:

here’s how the election in 2004 went:

this is the 2010 election:

As we can clearly see from the voting patterns in both elections, the country is divided exactly across the current line of conflict. Furthermore, a survey conducted in 2015 further shows that there is a sharp division between people of eastern and western Ukraine on which economic bloc they would rather belong to:

Either you’re intentionally spreading misinformation here, or you’re far too ignorant to discuss the subject you’re attempting to debate here.

Why would you lie about something that’s well documented, this isn’t reddit.

Burgerland occupies Hawaii and part of Cuba just to name a couple of places, but sure it’s defending sovereignty of a nation where it overthrew the legitimate government in a violent coup. 🤡

the least propagnadized lemm.ee lib has logged on everybody

Exactly, at this point it’s becoming clear that Mozilla is the problem. The amount of money it would take to simply fund a team of devs actively working on FF is a fraction of the money Mozilla pulls in. Most of that money is spent on execs, middle management, and random projects that they come up with to justify their existence.

I’d argue this is a good example of LLMs being used by artist to create nice looking art https://www.youtube.com/watch?v=envMzAxCRbw

I mean, Id did this for years with Quake engines as well, so we kind of know how this works out. The assets tend to be the really difficult part for open source community to replicate. Still cool that they’re doing it though.

Incidentally, this is where AI tools could really help open source community to make it easier to create nice looking open assets for the game engines like this.

https://xkcd.com/3081/

Let’s say it is, so what? The actual question to ask whether the text conveys useful information to the reader or not. Whether LLM was used to make the content more readable is completely irrelevant.

apparently this one https://lemmy.ml/post/4082699 bigger version since original pic is gone

and that’s the top comment https://lemmy.ml/post/5534638/4219049

Oh yeah that’s a good use case as well, it’s a kind of a low risk and tedious task where these things excel at.

so brave

I find they’re pretty good at some coding tasks. For example, it’s very easy to make a reasonable UI given a sample JSON payload you might get from an endpoint. They’re good at doing stuff like crafting farily complex SQL queries or making shell scripts. As long as the task is reasonably focused, they tend to get it right a lot of the time. I find they’re also useful for discovering language features working with languages I’m not as familiar with. I also find LLMs are great at translation and transcribing images. They’re also useful for summaries and finding information within documents, including codebases. I’ve found it makes it a lot easier to search through papers where you might want to find relationships between concepts or definitions for things. They’re also good at subtitle generation and well as doing text to speech tasks. Another task I find they’re great at is proofreading and providing suggestions for phrasing. They can also make a good sounding board. If there’s a topic you understand, and you just want to bounce ideas off, it’s great to be able to talk through that with a LLM. Often the output it produces can stimulate a new idea in my head. I also use LLM as a tutor when I practice Chinese, they’re great for doing free form conversational practice when learning a new language. These are a just a few areas I use LLMs in on nearly daily basis now.

I find I like to follow what analysts like Ben Norton report to get some context around the news. I evaluate whom I pay attention to based on their track record, and how well their predictions align with the way things actually developed.

I also like how it’s It’s offline-first, using the CRDTs under the hood.

And I don’t see that as a problem. I don’t think Fediverse needs to be fully connected the way a centralized platform is. The fact that different instances can choose whom they federate with is a feature not a bug. Fediverse favors creating smaller communities that are more personal, instead of just being one giant cesspool. It’s a different way to interact with people.

I find it’s actually better at this point because it just gives results without AI summaries and ads, also I find it’s just straight up better at actually finding what you’re looking for

The whole point of ActivityPub is that you don’t need multiple accounts on different servers. You can use your Lemmy account to talk to people on Mastodon, browse PixelFed, watch PeerTube. Yes, there is sometimes lag in content propagating, and so on, but it’s clearly not a show stopper. My experience using Lemmy and Mastodon is the opposite of terrible.

It’s no more confusing than using email, and everybody managed to figure that out. You don’t need to know how the nitty gritty of it works. The network effects is a far bigger issue, as you point out, centralized platforms simply have far more content on them.