SuddenlyBlowGreen @ SuddenlyBlowGreen @lemmy.world

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Joined

2 yr. ago

I do like rider, but I'm most comfortable building GUIs in WPF, and VS has a great drag-and-drop interface for that.

Unfortunately, I don't have free time like I used to, so learning a new framework that's cross platform like Avalonia has been slow.

It has a very good GUI for building WPF and Avalonia interfaces drag-and-drop style.

Although it's been a while since I used rider, maybe it has it too. I should probably check it out again.

But my main reason for staying on windows is still those damn anticheat software for some games my friend group play.

To be fair though, windows is doing everything in its power to push me towards dual booting again.

I'm that guy.

Unfortunately, Siege and MW2 are the only two games that a large segment of my friend group plays.

And also no alternative for Visual Studio (especially WPF and Xamarin)

Well, given how we're the ones that developed the models, they are deterministic as we know and can save and reproduce the random weights they are given during training, and we can use a debugger to step through every single step the models makes in learning and "thinking", yes, we understand them.

We can not however, do that for the human brain.

Well, there still a shit ton we don't understand about human.

We do, however, understand everything about machine learning.

Is it true or is it not?

Any press that dares to mention anyone who isn't cis, white and christian is a positive light.

Sounds like you're not grateful your your work...

If you have time to post on Lemmy, you have time to work.

If you're not grateful enough for the opportunity to work, there are 100 others in line for it.

They seem to think that nato's expansion is normal and just fine.

Damn NATO, forcing countries to join them.

As long as people are stupid enough to pay for it...

If not friend, why friend shaped?

Well now in addition to regular pedos consuming CSAM, now there are the additional consumers of people to use huge datasets of them to train models.

If there is an increase in demand, the supply will increase as well.

Just like how regular models haven't driven people to create even more data to train on.

It has driven companies to try to get access to more data people generate to train the models on.

Like chatGPT on copyrighted books, or google on emails, docs, etc.

I think it it becomes widespread, like you want it to be, models that generate CSAM will be trained on such material, yes.

Unfortunately for you, the world doesn't revolce around you. And since people who do have these problems and want to solve them outnumber you, they're going to post about it.

AI produces images all the time of things that aren't in its training set.

AI models learn statistical connections from the data it's provided. It's going to see connections we can't, but it's not going to create things that are not connected to its training data. The closer the connection, the better the result.

It's a pretty easy conclusion from that that CSAM material will be used to train such models, and since training requires lots of data, and new data to create different and better models...

So it wasn't trained on pictures of astronauts and pictures of horses?

Good for you. But others do.