GPU acceleration, true-color, image display, etc.

Yeah, I used aircrack to gain access to one of my neighbors wifi and used it for about a month when I moved into my first apartment. After I got my own connection, I set up a guest network/SSID that was open,

Ideally, children would be educated and trained better to think critically; making people harder to manipulate through emotion. But, pragmatically, yeah, marketing/propaganda strategies are useful and even necessary for progress.

Your article made me wonder if there were any theories about ethically appealing to emotion, and I found this (psychological/political) theory interesting: https://semihcakir.com/blog/the-affective-intelligence-theory/. As I understand it, it posits that when people have low anxiety, their thinking is just habitual, but when they experience anxiety, they open themselves up to new information.

So much more than an init system though, which I think is why people don’t like it. Personally, the only annoyance I have is I preferred log files over journald.

Israel, Iran, or the US?

Used Teams for a bit. Seemed fine, just used it like any other IRC clone. Didn’t use it for video. Windows has a lot of annoyances; death by a thousand cuts. The Windows ecosystem also sucks: to the point where graphic card and mouse driver installers try to install spyware.

I think there’s a massive oversupply of software engineers world-wide, and investors and executives are heavily pushing offshoring to countries where there are even more engineers that are even more desperate to find work. The ideology or focus of the entire US investor/executive class seems to have shifted as soon as Musk gutted Twitter. I fear this may be another, “these jobs aren’t coming back,” kind of thing the manufacturing industry went through. Perhaps we’ll see a boom of bootstrapped start-ups ran by engineers (or preferably worker-cooperatives), but that’s extremely hard to do.

Kinda weird GPT4-Chan wasn’t referenced. A guy fine-tuned GPT-J on 4chan, then deployed bots to write posts. I guess it was more of a stunt than academic or scientific, but training on 4chan improved the model’s performance on a truthfulness benchmark.

Yeah, that’s how they sell it. Problem is, studies have shown the fraud in these programs isn’t much of an expense, in the broader context. And, Trump has granted clemency to Lawrence Duran, who stole $205M from Medicare, which tells you they don’t really care about that. These programs are actually pretty efficient, and spending funds to investigate small-time fraud would often cost more than just letting it happen. It’s not like tons of people wish to be on our shitty social programs that don’t even supply enough help for the people that absolutely need it.

Kinda depressing that all of big-tech seems to have given up “innovating” (finding applications for publicly-funded research), and have become rent-seeking dinosaurs.

From the people I know, who do depend on these programs and like Trump, they don’t believe they will have their benefits reduced. The think the other people, “taking advantage” of the system will be kicked off. It’s being sold as reducing fraud and abuse. The right-wing has been pushing this framing for decades, and many people have bought into it.

but it turns out all that cash was going toward a workforce of over 700 Indian engineers, rather than an AI.

I doubt much of that cash was going to their workforce. Should have though.

Guess I just prefer languages that do it this way:

class AClass {
  var aProp = 0

  fun aMethod() {
    aProp++
  }
}

Though I suppose confusion and bugs can happen when you do something like:

class AClass {
  var aProp = 0

  fun aMethod(aProp: Int) {
    // `this.aProp` is needed to access the property
  }
}

A lot of the immigrant labor has been at least slave-like for decades too. Under constant threat of deportation on their “employer’s” whim. Fairly common for “employers” to take documented worker’s documentation to hold them hostage. Reports of some farmers housing and working workers fenced-in, having them working under gunpoint. Some farmers have been caught buying and selling immigrants amongst each-other. I remember a report of a meatpacking plant calling ICE on its own employees to have them deported after they started asking for better treatment, then just hiring more immigrants to replace them. Hell, I even remember near where I grew up, you could see the shed-like shacks from the road on one farm where they kept the migrant workers; no electricity, didn’t look like they had any running water either.

I’ve always found needing to manually add a class instance parameter (i.e. self) to every object method really weird. And the constructors being named __init__. Not having multiple dispatch is kinda annoying too. Needing to use decorators for class methods, static methods, and abstract classes is also annoying. Now that I think about it, Python kinda sucks (even though it’s the language I use the most, lol).

Haven’t used it yet, but venice.ai looks interesting; they have a good privacy policy. Right now, I just use ChatGPT with the “improve models” setting turned off, and use “temporary chat” mode. I don’t really trust OpenAI to be doing the right thing though. I’ve used 14B models locally, but they aren’t as good as 72B+ models.

I like ranger (https://github.com/ranger/ranger).

I’ve heard it claimed social stratification didn’t really start happening until agriculture; that’s when you see many small residential structures and a few large ones. On the other hand, it allowed for specialization and the pursuit of arts and sciences (at least for the elite).

Privacy policy changes are worrying. They also implemented Privacy Preserving Attribution, which sends anonymized data to advertisers, and enable it by default. I personally like LibreWolf.

I’d guess it’s mostly the AI autocomplete stuff. I.e. you keep on typing until the AI guesses it right then press tab to save keystrokes. LLMs are really bad at making test cases in my experience; they, ironically, can’t do the simple but nuanced computations needed to figure out what the output should be given the inputs, or to recognize and test the edge cases.