And why they dismantle the systems they’re tasked with protecting the moment they can.

Dishonor on you! Dishonor on your cow!

Whataboutism? Really? That’s the game we’re playing?

Sure, okay, I’ll bite.

Edward Snowden: He’s a hero, no doubt in my mind. But from this perspective, no one has attacked him since his departure from the US. Formal requests have been made to extradite him and they’ve been turned down. Once on foreign soil the US respected Russian sovereignty.

Julian Assange: Okay personally I find Assange to be a piece of shit, but that aside, the extradition process has been followed legally.

Chelsea Manning: Broke the law. And while her initial imprisonment situation was absolutely concerning, it was legal. The legal process was followed, and the sentence given was far short of the maximum. Her sentence was commuted by a sitting president. No foreign governments were involved, so no sovereignty was violated.

Drake and Binny: Always were on US soil. No foreign involvement whatsoever. They were raided and Drake was changed with crimes. He received probation and community service. Once again, the legal process was followed and no foreign sovereignty violated.

Boeing Whistleblowers: What the fuck is this arguement? You think the US is happy one of it’s biggest military manufacturers and transportation providers has serious quality issues? You think the US is taking action against the whistleblowers? Be serious.

Basically: you’re saying the US charges people who violate the laws around information handling as criminals. Yes, that’s true. Now, I personally am sympathetic to most of these cases. I assume you are too. Whistleblowers should be better protected, but at the same time some information, like the names and personal information of government assets abroad, reasonably should be protected. It’s a delicate balance, and one I think the US could greatly improve.

However, these are not similar to the cases in question. The cases in question are actions by governments on foreign soil or against US citizens. This is an enormous violation of sovereignty, legality, and due process. That’s the issue at hand.

MRSA infection following hospital admittance for Pneumonia. That shit is serious and way more prevalent than people think, it’s just that it usually kills people who are already terminally ill.

Unlikely to be an assassination. But not impossible. Either way, looks very bad.

Quad9

I use FreshRSS. Can’t say I love the interface, but with the open and standardized API, there are dozens of beautiful front ends to choose on any device.

https://en.wikipedia.org/wiki/HTTP%2F3?wprov=sfla1

I was actually surprised to find out QUIC is fairly close to being default.

Wikipedia

HTTP/3 uses QUIC, a multiplexed transport protocol built on UDP.

HTTP/3 is (at least partially) supported by 97% of tracked web browser installations (thereof of 98% of “tracked mobile” web browsers), and 29% of the top 10 million websites.

Reminds me of the kid who I worked with who tried to convince me in earnest that Colbert was a champion of Conservatism.

I thought it was a joke for weeks and played along before I realized he just was that dumb and naive.

You may enjoy the Red Mars/Blue Mars/Green Mars series from Kim Stanley Robinson.

I confess I only got part way through because it’s more a political thriller with a sci-fi backdrop. But what I read was pretty good.

In commercial airliners, nearly the entire flight is now closely monitored and controlled by redundant computer systems. And the pilots rarely use the front window, they mostly fly by instrument.

Cameras as the cockpit windows aren’t really that crazy at this point. Really glass cockpits are a formality.

There’s zero reason to ever “deflate” a currency. In fact, when it’s been tried every single time it’s become catastrophic.

The new numbers are bigger than the old numbers, but as long as wages catch up sooner rather than later, they’re just a bigger number without being a detriment.

A notebook and crayons? I think you’d just get back stick figure-esque drawings of cybertrucks with notes like “bulletproof” and “anti-gas attack”.

Just like the poor Tesla design team.

Yeah I’m with you on this. Even from a pure science fiction perspective there’s just no way the experience of consciousness “transfers” by any currently understood science.

Just like when you move a computer’s file across the Internet the result would be a copy, and that wouldn’t really be noticable or impactful to the copy or the people who know you and the copy would interact with, but it would make a hell of a lot of difference for the person going in. Great if you’re dying and want to do what you can (The Culture book series covers this possibility quite well) but otherwise small comfort.

Best case scenario is “The Prestige”, but with a much quicker and cleaner death.

And if someone slaps “quantum entanglement” on the table like that is a real answer for anything, imma not even bother.

Just chip a couple bucks to your local instance owner! Basically the same thing, without the glitz.

It can. Most people just use the filesystem watcher, but this looks nice. https://github.com/deathbybandaid/tdarr_inform

Highly recommend using tdarr. Not just because the radarr container won’t do it, but because tdarr is so incredibly powerful.

A weird crossover between linuxmemes and cremposting

Hard disagree on them being the same thing. LLMs are an entirely different beast from traditional machine learning models. The architecture and logic are worlds apart.

Machine Learning models are "just"statistics. Powerful, yes. And with tons of useful applications, but really just statistics, generally using just 1 to 10 variables in useful models to predict a handful of other variables.

LLMs are an entirely different thing, built using word vector matrices with hundreds or even thousands of variables, which are then fed into dozens or hundreds of layers of algorithms that each modify the matrix slightly, adding context and nudging the word vectors towards new outcomes.

Think of it like this: a word is given a massive chain of numbers to represent both the word and the “thoughts” associated with it, like the subject, tense, location, etc. This let’s the model do math like: Budapest + Rome = Constantinople.

The only thing they share in common is that the computer gives you new insights.

You’re talking about two very different technologies though, but both are confusingly called “AI” by overzealous marketing departments. The basic language recognition and regressive model algorithms they ship today are “Machine Learning”, and fairly simple machine learning at that. This is generally the kind of thing we’re running on simple CPUs in realtime, so long as the model is optimized and pre-trained. What we’re talking about here is a Large Language Model, a form of neural network, the kind of thing that generally brings datacenter GPUs to their knees and generally has hundreds of parameters being processed by tens of thousands of worker neurons in hundreds of sequential layers.

It sounds like they’ve managed to simplify the network’s complexity and have done some tricks with caching while still keeping fair performance and accuracy. Not earth shaking, but a good trick.