Ferk

You mean "confidentiality", not privacy.
Just the metadata related to whether you personally, traceable to your full name and address, have a Signal account and how much you use it might be considered a privacy breach already, even if the content of the messages is confidential.

Signal is the same in that regards.

"First evidence in a billion years of two lifeforms merging into one"

It's slightly shorter and more accurate.. it does not state absolutely that it happened for the first time, but rather that it's the first evidence we've found from the last billion years.

And please, get all countries to actually start properly accepting ISO 8601 format for dates as a mandatory universal standard...

Obligatory reference: https://xkcd.com/1179/

Yes. The thing is that then you are no longer anonymously using yt-dlp.
The next step would be trying to detect that case.. maybe adding captchas when there's even a slight suspicion.
Perhaps even to the point of banning users (and then I hope you did not rely on the same account for gmail or others).
It'll be a cat and mouse situation. Similar as it happened with Twitter, there are also third party apps, but many gave up.

I wouldn't be surprised if at some point they start doing something like what Twitter did and require login to view the content.

The thing is.. they are not really disagreeing if they are not saying something that conflicts or challengues the argument.

They just mistakenly believe they disagree when in fact they are agreeing. That's what makes it stupid.

If you don’t like it, vote with your wallet

I'd say more: don't use Youtube if you don't like it.

It's very hypocritical to see how everyone bashes at Youtube, Twitter, Facebook, Uber, etc. and yet they continue using it as if life would be hell without the luxury of those completelly non essential brands. If you truly don't like them, just let them die... look for alternatives. Supporting an alternative is what's gonna hurt them the most if what you actually want is to force them to change.

There's also a lot of videos from rich Youtube creators complaining about Youtube policies, and yet most of them don't even try to set up channels on alternative platforms. Many creators have enough resources to even launch their own private video podcast services, and yet only very few do anything close to even attempt that.

I think it was Mandrake Linux for me.
It no longer exists though. ...I guess I'm old.

While the result from generating an image through AI is not meant to be "factually" accurate, its seeking to be as accurate as possible when it comes to matching the prompt that is provided. And the prompt "1943 German Soldier" or "US Senator from the 1800" or "Emperor of China" has some implications in what kind of images would be expected and which kinds wouldn't. Just like how you wouldn't expect a lightsaber when asking for "medieval swords".

I'm not convinced that attempting to "balance a biased training dataset" in the way that this is apparently being done is really attainable or worthwhile.

An AI can only work based on biases, and it's impossible to correct/balance the dataset without just introducing a different bias. Because the model is just a collection of biases that discriminate between how different descriptions relate to pictures. If there was no bias for the AI to rely on, they would not be able to pick anything to show.

For example, the AI does not know whether the word "Soldier" really corresponds to someone dressed like in the picture, it's just biased to expect that. It can't tell whether an actual soldier might just be wearing pajamas or whether someone dressed in those uniforms might not be an actual soldier.

Describing a picture is, on itself, an exercise of assumptions, biases, appearances that are just based on pre-conceived notions of what are our expectations when comparing the picture to our own reality. So the AI needs to show whatever corresponds to those biases in order to match as accuratelly as possible our biased expectations for what those descriptions mean.

If the dataset is complete enough, and yet it's biased to show predominantly a particular gender or ethnicity when asking for "1943 German Soldier" because that happens to be the most common image of what a "1943 German Soldier" is, but you want a different ethnicity or gender, then add that ethnicity/gender to the prompt (like you said in the first point), instead supporting the idea of having the developers force diversity into the results in a direction that contradicts the dataset just because the results aren't politically correct. ..it would be more honest to add a disclaimer and still show the result as it is, instead of manipulating it in a direction that activelly pushes the IA to hallucinate.

Alternativelly: expand your dataset with more valuable data in a direction that does not contradict reality (eg. introduce more pictures of soldiers of different ethnics from situations that actually are found in our reality). You'll be altering the data, but you would be doing it without distorting the bias unrealistically, since they would be examples grounded in reality.

The title is a bit confusing.. at first I thought this meant they are bringing Bedrock add-ons to Java Edition.

But no, they are just improving the modding support that already existed in Bedrock. However, Java edition still can't use those new mods.