Morton up in here spreading free salt.

Perhaps, but I sucked at touch typing when I was younger.

No idea; does autocorrect even exist in an inbuilt fashion on Windows? I’ve never really tried using anything like that.

Oh, and here’s a one-off test I just did without autocorrection turned on. With a few more tries, I’m sure I could get up to 100+.

Ironically, I can almost type as fast on my phone (102 WPM PB) as I can on most keyboards (110 WPM PB), and that’s with my weird improper method of touch typing. These scores are for the 15 second word test on MonkeyType.

More often than not, people who are passionate about something, such as Linux, take personal offense when someone says something incorrect or offensive about said thing. Oh, and blud is just to call someone a poser.

I love this comment so much. “You crossed Linux? Now you’ve crossed me, blud.”

To be fair, the comments and posts you leave are technically being collected for display across the lemmyverse. In that sense, there’s never going to be a zero data collection Lemmy client. Still, Liftoff currently has my vote. A decent little FOSS fork of Lemur, I believe.

Heck, even my college Sociology textbook from OpenStax basically has nuclear fear-mongering baked into one of the later sections.

Unfortunately, there’s still that one guy in the comments trying to say that hypothetical, largely unproven solutions are better for baseload than something that’s worked for decades.

I feel like my obsession with Mavicas has just been dismissed as invalid.

We do something similar over at !mavica@normalcity.life, but with photos. Of course, we’re using old floppy disk cameras, so the compression, aberration, and CCD weirdness is indeed authentic.

Yeah, that’s fair. The early versions GPT3 kinda sucked compared to what we have now. For example, it basically couldn’t rhyme. RLHF or some of the more recent advanced seemed to turbocharge that aspect of LLMs.

So a few tidbits you reminded me of:

• You’re absolutely right: there’s what’s called an alignment problem between what the human thinks looks superficially like a quality answer and what would actually be a quality answer.

• You’re correct in that it will always be somewhat of an arms race to detect generated content, as lossy compression and metadata scrubbing can do a lot to make an image unrecognizable to detectors. A few people are trying to create some sort of integrity check for media files, but it would create more privacy issues than it would solve.

• We’ve had LLMs for quite some time now. I think the most notable release in recent history, aside from ChatGPT, was GPT2 in 2019, as it introduced a lot of people to to the concept. It was one of the first language models that was truly “large,” although they’ve gotten much bigger since the release of GPT3 in 2020. RLHF and the focus on fine-tuning for chat and instructability wasn’t really a thing until the past year.

• Retraining image models on generated imagery does seem to cause problems, but I’ve noticed fewer issues when people have trained FOSS LLMs on text from OpenAI. In fact, it seems to be a relatively popular way to build training or fine-tuning datasets. Perhaps training a model from scratch could present issues, but generally speaking, training a new model on generated text seems to be less of a problem.

• Critical reading and thinking was always a requirement, as I believe you say, but certainly it’s something needed for interpreting the output of LLMs in a factual context. I don’t really see LLMs themselves outperforming humans on reasoning at this stage, but the text they generate certainly will make those human traits more of a necessity.

• Most of the text models released by OpenAI are so-called “Generative Pretrained Transformer” models, with the keyword being “transformer.” Transformers are a separate model architecture from GANs, but are certainly similar in more than a few ways.

Unless I’m mistaken, aren’t GANs mostly old news? Most of the current SOTA image generation models and LLMs are either diffusion-based, transformers, or both. GANs can still generate some pretty darn impressive images, even from a few years ago, but they proved hard to steer and were often trained to generate a single kind of image.

I was incorrect; the first part of my answer was my initial guess, in which I thought a boolean was returned; this is not explicitly the case. I checked and found what you were saying in the second part of my answer.

You could use strict equality operators in a conditional to verify types before the main condition, or use Typescript if that’s your thing. Types are cool and great and important for a lot of scenarios (used them both in Java and Python), but I rarely run into issues with the script-level stuff I make in JavaScript.

If I remember correctly, 0 and 1 are considered falsy and truthy respectively, so it should be falsy and truthy and false which I believe would return false.

Tried it out to double-check, and the type of the first in the sequence is what ultimately is returned. It would still function the same way if you used it in a conditional, due to truthy/falsy values.

JS is one of the most fun programming languages ever created; how dare you slander its great name.

Maybe Australia’s offerings are different, but I see this board with an 11th gen i5 for USD $299. There’s a ton in the $300-500 price range with several different configurations. That’s really the interesting range for doing hobby projects.

Well, framework has one cool side-effect of their repair-friendly approach: their laptop mainboard can be used as an SBC. I’ve seen a few projects use it in this way, and I believe they even sell an official plastic case for it. It’s a well-documented piece of computer hardware that is regularly refreshed and can be fitted easily into slim chassis.

Oh, and another cool thing is that their screens have magnetic bezels. ThinkPads are a PITA to fix if you just want to replace an LCD panel; framework makes it trivial to keep the upper chassis and only replace the part that’s actually broken. That’s the real pitch with Framework: replace anything easily and upgrade your computer for only the cost of the mainboard or socketable component. Some of their newer devices have a socketable PCIe expansion bay, which could be used for things like socketable GPU upgrades.

There’s also always a million reasons why your intelligence test might not be quite accurate, and certainly a person themselves will never be able to accurately assess their intelligence without some sort of test. An objective ruler to measure intelligence by is far from trivial, and essentially impossible. It’s especially impossible in the sense that a single test could accurately sum up a person’s capacity to be a productive human being as one number.

Oh, and the other mind-bending realization is that our perception of what it means to be intelligent is ultimately influenced by our own intelligence. So, chances are we’re all probably conceptualizing what it means to be successful in different ways anyway. In this way, there is a chance that the things you envy, like talent or skills you lack, are something that you can teach yourself. The things you’re aware of and can grasp conceptually are probably things you can learn to fully understand. Whether you have the time or motivation to learn new things is ultimately a different question entirely. So, take time to learn new things. In that sense, everyone can always become smarter than they are right now.