Chlorocruorin is really confusingly named. I was trying and failing to find the chlorine in it and was wondering if I was just dumb or blind or what.

khloros is Greek for “green”. That’s also where chlorine gets its name. So they’re only related etymologically.

Sounds like an issue with handling Exif orientation tags.

it’s just a jerk-thing.

That’s not very skibidi of you to say.

I’m a Millennial and I’m happy to report I’ve appropriated “skibidi”. I really, really enjoy watching younger people die a little inside every time I use it.

Does that make me a dad even if I don’t have any kids?

so they wanted to sell Itanium for servers, and keep the x86 for personal computers.

That’s still complacency. They assumed consumers would never want to run workloads capable of using more than 4 GiB of address space.

Sure, they’d already implemented physical address extension, but that just allowed the OS itself to address more memory by enlarging the page table. It didn’t increase the virtual address space available to applications.

The application didn’t necessarily need to use 4 GiB of RAM to hit those limitations, either. Dylibs, memmapped files, thread stacks, various paging tricks, all eat up the available address space without needing to be resident in RAM.

Their last few generations of flagship GPUs have been pretty underwhelming but at least they existed. I’d been hoping for a while that they’d actually come up with something to give Nvidia’s xx80 Ti/xx90 a run for their money. I wasn’t really interested in switching teams just to be capped at the equivalent performance of a xx70 for $100-200 more.

This highlights really well the importance of competition. Lack of competition results in complacency and stagnation.

It’s also why I’m incredibly worried about AMD giving up on enthusiast graphics. I have very few hopes in Intel ARC.

Plants: develop hard pericarps for their seeds to survive animals’ digestive tracts

This beetle: G O T T A G O F A S T

Problem is, AI companies think they could solve all the current problems with LLMs if they just had more data, so they buy or scrape it from everywhere they can.

That’s why you hear every day about yet more and more social media companies penning deals with OpenAI. That, and greed, is why Reddit started charging out the ass for API access and killed off third-party apps, because those same APIs could also be used to easily scrape data for LLMs. Why give that data away for free when you can charge a premium for it? Forcing more users onto the official, ad-monetized apps was just a bonus.

These models are nothing more than glorified autocomplete algorithms parroting the responses to questions that already existed in their input.

They’re completely incapable of critical thought or even basic reasoning. They only seem smart because people tend to ask the same stupid questions over and over.

If they receive an input that doesn’t have a strong correlation to their training, they just output whatever bullshit comes close, whether it’s true or not. Which makes them truly dangerous.

And I highly doubt that’ll ever be fixed because the brainrotten corporate middle-manager types that insist on implementing this shit won’t ever want their “state of the art AI chatbot” to answer a customer’s question with “sorry, I don’t know.”

I can’t wait for this stupid AI craze to eat its own tail.

Knowing Tom, he’d be too embarrassed to accept it.

Meanwhile, giraffes:

Most likely written down somewhere. The seed phrase is the backup method of storing a private key to a crypto wallet. You’re supposed to put it somewhere safe as a way to recover the wallet if the normal way to access it (a software app or a hardware device) fails.

Brute-forcing a full 12 or 24 word phrase would take centuries to millennia, so there’s only a few possibilities:

1. They just found the full phrase written on a card in a safe somewhere, in which “deciphering” it is as simple as typing it into a fucking wallet app;
2. He was smart enough to split the phrase up and keep different parts of it in different places, so they might have had to brute-force part of it;
3. They found a hardware wallet and hacked into it to recover the phrase;
4. (exceedingly unlikely) they figured out that the random number generator he used to generate the phrase was broken and had predictable output patterns.

Yeah, it can be really helpful to understand the context and the problems they were trying to solve.

Like for example, I think a lot of pop-sci talk about Special/General Relativity is missing huge chunks of context, because in reality, Einstein didn’t come up with these theories out of thin air. His breakthrough was creating a coherent framework out of decades of theoretical and experimental work from the scientists that came before him.

And the Einstein Field Equations really didn’t answer much on their own, they just posed more questions. It wasn’t until people started to find concrete solutions for them that we really understood just how powerful they were.

Trying to teach yourself higher math without a textbook is nearly impossible.

You could try just Googling all the Greek letters and symbols but have fun sifting through the hundred-odd uses of σ for the one that’s relevant to your context. And good fucking luck if it’s baked into an image.

The quickest way I’ve gotten an intuition for a lot of higher math things was seeing it implemented in a programming language.

I understood about 45% of that, and I also hate them.

This is the whole idea behind Turing-completeness, isn’t it? Any Turing-complete architecture can simulate any other.

Reminds me of https://xkcd.com/505/

This is undeniably hilarious, but if you’ve ever seen actual dissection photos or videos of surgery, you kinda recognize that good anatomical drawings required a lot of mental effort to create.

Imagine making a completely accurate diagram of everything in a car’s engine bay, either while the engine is running and it’s doing 70mph down the highway, or after it’s had a head-on collision at the same speed.

We’ve seen plenty of evidence that the current inflation is almost entirely driven by companies price gouging consumers.

And actually, the fact that the price hasn’t increased is pretty obvious evidence of this.

Do you think, for one second, Apple would accept any appreciable hit to its profit margin if their costs had inflated 1:1 with consumer prices? Especially when they have a perfect excuse to blame a price increase on?

The phone may cost them a little more to make than last year, but I doubt it’s that much.

There’s tons of elasticity built into the pricing already so that carriers can offer discounts.

The point is kind of moot because the phone definitely comes with the cable: https://www.apple.com/iphone-16/specs/

The article is actually about the new AirPods. I was going entirely off the information in the comment I was replying to.

The thing is, the iPhone 14, 15 and 16 all have the same launch price: $799 US

Adjusted for inflation, the 14 and 15 may have cost more, but Apple is almost certainly making that money back somewhere else. Like, say, making people pay for accessories that used to be included?

And at the end of the day, the prices consumers pay for end products don’t follow the exact same curve as the prices megacorporations pay for materials and labor. We’ve seen plenty of evidence that the current inflation is almost entirely driven by companies price gouging consumers. So it’s not really reasonable to assume that Apple’s costs have gone up 1:1 with consumer prices anyway.