The problem is for organizations it's harder to leave because that is where the people you want to reach are. That's the only reason any org or company is on social media in the first place. If they leave too soon they risk too many people not seeing the things they send out to the community.

It's more an individual thing because so many people just have social inertia and haven't left since everyone they know is already there. The first to leave have to decide if they want to juggle using another platform to keep connections or cut off connections by abandoning the established platform.

Been playing around with local LLMs lately, and even with it's issues, Deepseek certainly seems to just generally work better than other models I've tried. It's similar hit or miss when not given any context beyond the prompt, but with context it certainly seems to both outperform larger models and organize information better. And watching the r1 model work is impressive.

Honestly, regardless of what someone might think of China and various issues there, I think this is showing how much the approach to AI in the west has been hamstrung by people looking for a quick buck.

In the US, it's a bunch of assholes basically only wanting to replace workers with AI they don't have to pay, regardless of the work needed. They are shoehorning LLMs into everything even when it doesn't make sense to. It's all done strictly as a for-profit enterprise by exploiting user data and they boot-strapped by training on creative works they had no rights to.

I can only imagine how much of a demoralizing effect that can have on the actual researchers and other people who are capable of developing this technology. It's not being created to make anyone's lives better, it's being created specifically to line the pockets of obscenely wealthy people. Because of this, people passionate about the tech might decide not to go into the field and limit the ability to innovate.

And then there's the "want results now" where rather than take the time to find a better way to build and train these models they are just throwing processing power at it. "needs more CUDA" has been the mindset and in the western AI community you are basically laughed at if you can't or don't want to use Nvidia for anything neural net related.

Then you have Deepseek which seems to be developed by a group of passionate researchers who actually want to discover what is possible and more efficient ways to do things. Compounded by sanctions preventing them from using CUDA, restrictions in resources have always been a major cause for a lot of technical innovations. There may be a bit of "own the west" there, sure, but that isn't opposed to the research.

LLMs are just another tool for people to use, and I don't fault a hammer that is used incorrectly or to harm someone else. This tech isn't going away, but there is certainly a bubble in the west as companies put blind trust in LLMs with no real oversight. There needs to be regulation on how these things are used for profit and what they are trained on from a privacy and ownership perspective.

I haven't done much with UI in general, but the one time I thought of making some UI stuff in windows I gave up.

Even modifying an existing .net program someone else made for a feature I wanted was a nightmare.

Like I feel they should want right wing nuts to be mad about the game. They won't stop talking about media that are mad about and so many conservatives will still buy the thing even just to destroy it and virtue signal to the other idiots.

The left? Some may still buy it, but most don't talk about it at all. The idea of "go woke go broke" has always been a message of intent, not reality, at least in the modern era.

Nothing makes me want to try a game or watch a show more than legitimate, non surface level representation that incels whine about.

Should start saying he pardoned "antifa" or whatever conservatives were calling them to distance themselves.

I'd say we should churn out AI slop ourselves that says all these CEOs are dying from autoeroticasphyxia, but we know they wouldn't actually apply their rules equally.

I've always tried to estimate more time than I think a task will take unless I know it's only like a simple task.

If I think it will take a few hours, I estimate a day. A day or so is 3. 3 or more becomes a week.

I've ran into way to many tasks somone else blindly put at a day and when we start to work the ticket we descover a ton of complications. I've seen so many 1-3 point tickets I've seen take multiple weeks because nobody thought about how deep the rabbit hole could go.

My handwriting has always been terrible. It was a big issue in school until I was able to turn in printed assignments.

Like with a lot of school things, they do a shit thing without thinking about negative effects. They always want a simple solution to a complex problem.

As lord Gaben has said, "piracy is a service issue"

Unfortunately, once you get enough money the system is designed to keep you wealthy no matter how much you fuck up.

Like, Trump has had multiple failed companies including casinos thay failed because he had them competeing with each other.

Yet while he's probably not a billionaire he still has the status of "wealthy" and managed to fail into the most powerful position in government.

Musk had more money, and therefore can fuck up way harder and still be fine. He could burn Twitter to the ground for all the effect it would have on him.

Basically. I know at least two other trans women besides myself from my graduating class.

Stereotypes, all of us 😅

As somone who has used video games as escapism there could also be something underlying that nobody is considering.