You assume that those numbers are people who are left leaning, but as the research from the last election cycle showed, almost 80% are either consistently voting or consistently don’t, and the rest are roughly evenly spread.

It’s more like stopping the construction crew from painting your house a colour you hate. Which sounds more reasonable

Believe it or not, there was Internet communication before social media.

When you do live streaming there is no time for backup, it either works or not. Better than nothing, that’s for sure, but also maybe marginally better than whatever we had 10 years ago

I unfortunately don’t know the specific names of the models, I will comment additionally if I will not forget to ask people who spun up the models themselves.
The difference might be that live vs recorded stuff, I don’t know.

Last election was one of the active ones. The people who didn’t participate are roughly those who never do. If the prospect of one more Trump presidency didn’t motivate them, they are truly, totally non existant as citizens and frankly as members of society. Their voices exists only as an annoying buzz on social media, and their opinion don’t matter, newer were.

People who don’t vote and people who can’t vote aren’t important because their voices don’t exist. They can shit themselves on twitter any day of the week until the heat death of the universe, their opinion don’t matter because so far democracy happens in the real world and not on twitter and reddit.

Exactly. My wife is a teacher and she runs Arch daily, knowing only how to run yay.

And if so, I can’t for the life of me Invision how it’s harder on Arch than on the Ubuntu or its derivatives.

There is a hard limitation on LLM, it doesn’t and by definition can not have a criteria for truth, and unless something completely new emerges, it will never replace a junior, really. Some managers can be convinced that it did, but that will be a lie and the company that believes it will suffer.
It can transform some junior jobs for sure, some people might need to relearn some practices, there will probably be some shift in some methods, but unless something fundamentally new will appear, there is no way LLM will meaningfully replace meaningful amount of people

What do you mean by maintaining?

The technology is nowhere near being good though. On synthetic tests, on the data it was trained and tweeked on, maybe, I don’t know.
I corun an event when we invite speakers from all over the world, and we tried every way to generate subtitles, all of them run on the level of YouTube autogenerated ones. It’s better than nothing, but you can’t rely on it really.

calls themselves core voters

don’t vote