

“Well, you have to let us do a little harm.” ¯_(ツ)_/¯
“Well, you have to let us do a little harm.” ¯_(ツ)_/¯
I think you misunderstand the phrase as I’m using it.
Time is always on someone’s side. It’s the nimble, the patient, the determined who win. MAGA is more nimble than the institutions that oppose it. It’s been more patient and focused than the opposition which has been constantly chasing after the latest shiny object of the week/month/year rather than anticipating the need for focus and unity. The bad guys are winning and they are not slowing down; we are falling further behind.
great collection! love it.
There are all sorts of mechanisms in the USA to stop this from happening as well. However, Trump spent the first term embedding loyalists in the courts and congress, so there really is not much left to stop him. If the people who are there to act as a check on presidential power are in on the game, then who is left to enforce the law?
Prosecution takes a very long time and authoritarians move very quickly. Time is not on our side.
“We’re leaving X” would be the better translation, I think.
That’s why we should be conscientious about directing communities to an appropriate instance. If they want to post about political violence, there’s a place for that.
If they are LGBT, particularly trans, then blahaj is particularly well suited for example.
Just because I happen to be on .world doesn’t mean I necessarily think it’s the best place for every community. I would have to be pretty stupid to come to the Fediverse and oppose Federation.
That’s exactly right. Different instances will be more sensitive to different issues, but hopefully that means there’s a place for everything.
There are instances where posting guillotines will be removed and there are instances where that’s permitted but pictures of Winnie the Pooh might be removed.
If people want to talk about anti-authoritarian violence, there is lemmygrad, etc.
I’m more concerned with the fact that a lot of reddit LGBT and particularly trans communities were banned. That could never happen on blahaj.
We need anyone who is still on Reddit or has an old account to get over there and let folks know that there is a great community here and we would welcome them!
Hey, mod here. You should consider posting this in !newtolemmy@lemmy.ca
I’m removing it from here because this community is for posting news articles.
Welcome!
It seems to apply to the Department of Defense. That’s the entire military infrastructure; Army, Navy, etc. That’s 2.1 million employees.
I live in a hot climate, so it’s really the expense of air conditioning.
Small adjustments to the temperature based on whether or not we’re home, pre-cooling versus cooling during the heat of the day, etc. makes a big difference on the bill potentially.
I’ve seen some scenarios where people were able to save hundreds of dollars a year just by adjusting the timing of systems. The price of electricity can go up and down during the day.
Maybe those cases are outliers and it’s actually not worthwhile, but it seems compelling. If I can put a system in place for under $100, that will be at least as good as what I have and possibly a significant improvement, I’m interested in trying it.
So which was the easiest?
Thanks for the tip! Others have mentioned that it’s very tricky to find one that works offline without the manufacturer’s software (website, login, data collection, etc)
Wow, very detailed! Thanks
Censorship and bias are two different issues.
Censorship is a deliberate choice by the deployment. It comes from a realistic and demonstrated need to limit the misuse of the tool. Consider all the examples of people using early LLMs to generate plans for bombs, Nazi propaganda, revenge p*rn etc. Of course, once you begin to draw that line, you have to debate where the line is, and that falls to the lawyers and publicity departments.
Bias is trickier to deal with because it comes from the bias in the training data. I remember on example where a writer found that it was impossible to get the model to generate a black doctor treating a white patient. Imagine the racist chaos that ensued when they applied an LLM to criminal sentencing.
I am curious about how bias might be deliberately introduced into a model. We have seen the brute force method (eg “answer as though Donald Trump is the greatest American,” or whatever). However, if you could really control and fine tune the values directly, then even an “open source” model could be steered. As far as I know, the values are completely dependent on the training data. But it should be theoretically possible to “nudge” those values if you could develop a way to tune it.
Honestly, that’s a fair point.
Obviously because it’s viewer and listener supported. I thought that was pretty clear, but maybe it bears repeating.
Any news source anywhere near the scale of PBS or NPR is supported by advertisers and owned by a media conglomerate.
They can finally make major Christian holy times into national holidays, celebrate the birth of their leader publicly, and pray in their workspaces! Freedom at last for Christians!