I highly doubt it, there's about a million things that only show up at scale that aren't lessons the bots can easily digest from Medium posts and bypass
There's more to than just the website. You have network bandwidth costs, security costs, infrastructure costs.
You can't just spin up a VPS and throw a few brain jar's in; the network bandwidth must be a fortune. Hosting over 700GB+ for many of the same models has storage cost too.
It does still work. It's just a bug in their anti-tampering code breaking it with secure spawning. Using the per-app secure spawning toggle or broader per-app exploit protection compatibility mode resolves it. PayPal should fix their code.
> I wonder when we reach the state of having a perfect font.
"Perfect font" can only happen when we stop developing new display technologies, and print dies out completely. If "perfect" is not subjective in the first place, it is definitely context-dependent. Fonts designed to work on budget smartphone displays don't necessarily look good on 6K desktop displays, and so on...
That's like reaching the state of having a perfect button-down shirt.
Styles change (like collar size, slim vs roomy), and what looks good on one torso doesn't look best on another. What fits well for one company/product/book doesn't fit well for another company/product/book.
I've just been collecting monospace fonts, and have a bit of elisp to cycle through the collection when I'm bored with the current one. (Sometimes that's enough to conclude that no, really, the original was fine and I go back to it :-)
that reminds me of the time there was one particular combination of my laptop dpi, screen resolution, and windows 2000 font renderer that made lucida sans typewriter look perfect, but when I switched to linux the same font seemed less crisp and clean, and I ended up using bitstream vera instead. I still try lucida sans typewriter out every now and then but whatever sweet spot it hit on that machine never happened again.
Problem with the buses (at least in London) is that they don't come very often, get stuck in traffic (getting in and out of the bus stop takes forever), often are full and full of feral youth at certain hours, they smell of piss and weed, you need to carefully inspect seats to not ruin your clothes with freshly placed bubble gum and then drivers often take breaks at random, so not only it is slow, the driver will announce evening out of the system and puts their feet up for 10-20 minutes.
If you are able bodied, most journeys you'll arrive quicker by just walking (just be mindful of drug peddlers, mental health cases, poo and maniacs on the scooters).
Nvidia buys the memory it uses on its GPUs, same as all other ASICs.
To give some context, Intel started making DRAM, I think they were actually the company that came up with modern memory techniques. They exited the market and pursued a more lucrative moat with CPUs.
People keep saying stuff like this without understanding what it takes to make RAM. It's one of, if not the most, heavily patented things in the world. The second you dip your toes into those waters the lawsuits begin.
If somehow you get around the patent issues, you're now faced with huge research and development costs, fabs to build, processes to sort out and all of that has very high failure rates.
Last time I checked Micron was the largest patent holder in the world and even for them this is a hard area where they are number 3 in the market.
RAM chips are not hard to produce compared to many other types of semiconductors; Intel started in the memory game and left because the margins weren't great and they were going to fold. The failure rates on these chips are actually very tolerable; you can have a very bad yield and still have a viable chip due to things like ECC.
Nah, DRAM is easy and very regular, it's a transistor and capacitor plus a massive decoder/encoder for addressing. The hard part is that it's a crushingly low margin business and without the added AI demand there were constant boom and bust cycles wiping out the manufacturers.
They have no fab for CPUs, they are manufactured by Samsung and TSMC. The bottleneck is in manufacturing RAM not CPUs so there is nothing Apple can do here.
Recently Micron pointed that finger and threw that shade in Apple’s direction saying that their priority for years has been squeezing margins in their favour, so there wasn’t the slack in the system to build the fab capacity that is now desperately required given the sudden need for RAM now that there’s a cause to use it in AI Inference.
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