I would think that pulling hardware ID values would be an administration level task, requiring root or kernel level access. So yes they are related or at least should be.

Where the fuck do you life where you’re heating your house with kerosene?

Or How’d you get a computer with modern internet in 1904?

Yes, we all know how your mother works on the weekends

If you have a functioning brain, LLM’s are just a really fancy text generator that gets facts correct about 50% of the time and can be useful for writing emails if you spend the time to proofread the email before slapping the send button. It’s also fairly good at generating functional boilerplate for programming projects. Really handy for small projects. However, LLM code, in my rather limited experience, quickly becomes a trap on more complex projects because the LLM has no capacity to grasp the scope of a project and frequently leads to spaghetti code that is utterly unmanageable. This may be operator error on my part, or just because I’m using local models that are limited by my machine.

The rest of society view a computer as a magic box where their favorite TikTok’s live, and thus are terrified that a machine can imitate human language well, and are too brain rotted to bother proofreading or fact checking a goddamn thing, so they assume LLM’s can accurately and plainly articulate the whole of human knowledge to you at a whim.

I am at a point where if I hear anyone saying how smart “AI” is, I just assume they have a room temperature IQ and lack any critical thinking skills whatsoever. It’s not an AI, it lacks any intelligence whatsoever. An LLM simply generates sentences based on what was fed to it. It has no capacity to understand the words it’s saying. It just knows that based on these tokens, the next set of tokens should be X, Y, and Z. It’s a Chinese room, It’s fucking autocorrect on crack. It’s a waste of time and resources for 90% of things it’s used for.

That is exactly the reason LLMs are in a bubble that is practically doomed.

The horse to vehicle transition is actually a good analogy. When society moved away from horses, people bought cars. The companies that sold cars, if they weren’t completely incompetent, made instant profit off the sale of the vehicle. The oil companies made profit off the sale of oil as a lubricant and oil byproducts as the fuel. Companies and private individuals that used to use horses for transportation of goods and for production had real benefits they could see instantly. A horse requires large amounts of food that must be stored or purchased regulars. It is an animal that has physical limits to what it can do. A horse can only travel so far in a day before needing food, water, and rest. The amount of goods you can transport via horse team is limited by this. A car or truck needs fuel like a horse needs food, but refueling takes minutes not hours, and a single engine can replace entire teams of horses, making the transport of bulk goods far more efficient. The car can use the exiting roads for horses, less efficiently overall but still more so and faster than a horse. This efficiency and speed of transport had real benefits seen on paper practically overnight and led to massive infrastructure investment to take advantage of the vehicles advantages.

An LLM can initiate human writing patterns. That’s it. That’s all they are good for. It requires massive infrastructure advancement to even begin to work, and can only really replace communication and other largely writing tasks like programming. Although with any skilled task, even customer service, there still needs to be a human making decisions and ensuring the output matches the goals. So where a single engine can replaced 10 horses that you can then sell or dispose of because you bought an engine, an AI can replace a few people, but you still need so many experts to verify its doing the job. Imagine if every truck had to have a horse walk next to it to makes sure it was doing the horse’s job correctly.

By the time investment in roads and fuel infrastructure were made, vehicles had already been shown to outperform horses in every way. Yet LLM companies are putting the cart before the horse. They’ve invested heavily in the infrastructure for their products, and haven’t yet found any role in which they are more profitable or better than a human. So they’ve partially reduced the cost of their services and are operating at a loss. Can they sustain that until every programmer or customer service representative has died? Highly unlikely. If LLM companies fail tomorrow, 99% of the staff that was downsized can be rehired fairly rapidly. It will lead to a massive economic shift that will almost certainly trigger a depression, but the total number of humans that can still do the job the old way is practically unchanged. Whereas after over a hundred years of vehicle dominance, you’d be hard pressed to find enough horses on the entire planet to replace every vehicle in a country the size of America.

Yeah, whoever voted for that hunter guy must have been an idiot

I have a 12G one.

Actually the best argument would be that the Soviets didn’t raise holy hell about it being fake.

Apollo 11 was able to be tracked by radio the entire trip to the moon. The radio transmissions and The television broadcast was unencrypted over plain radio. I’m sure the Soviets were able to verify the entire mission in real time. If there was even a hint that the moon landing was fake, the Soviets would have been throwing it in the US’s face the instant it happened.

They ran over children with tanks and it’s a crime to talk about it there.

Yes I will make fun of the Chinese government for not acknowledging their atrocities. Yes I also refuse to shut up about the US government putting Japanese-Americans in camps during WW2, or shooting college kids at Kent state, or putting Mexican kids in cages under the past 3 presidents. Don’t let governments hide the boot they want on our necks

Manufactured in China does not mean Chinese made.

The fabrication equipment is designed by American or Korean companies, which may have factories in China. Although most things like CPUs and Memory are actually manufactured in Taiwan which is functionally an independent state, hence why China wants it back so bad. This is saying that Chinese domestic designs are now on par with non Chinese designs in terms of performance. Which is actually huge because it means we might now have more than 3 memory manufacturers in the world.

A cordless sawzall of circular saw with a metal cutting blade is way faster.

I mean, hypothetically. I have a decent amount of experience with cutting pipes.

Either AI slop, someone fucked up the math for the capacity, or they’ve broken thermodynamics and are pulling power out of the ether.

First is most likely, 3rd is the coolest.

It’s dictator syndrome. There’s always going to be a subset of the population that, after acquiring the faintest whiff of power or authority, seizes it like a drowning man.

You need someone to make your butter for you?

You need someone to raise an animal and slaughter it for you?

You need someone to build a vehicle to transport yourself?

You needed a factory to build silicon wafers and assemble them into chips so another factory could produce a computer and install software on it that you didn’t write, so you could connect to the internet that someone else made?

Pathetic. Bet you don’t even live in the woods and grow your crops while trying to make solar cells out of sand to provide your own power. Absolutely pitiful that you participate in a society where goods and services are exchanged for money.

Why do you like making extra work for yourself? Are you bored?

Looks like there’s a starlink launch later today, and then a satellite resupply mission, both on Falcon 9s. Which is good because the falcon 9 is an incredibly reliable launch platform that should boost investor confidence.

And then on Thursday they’re gonna blow up another starship.

So we’ll see it tick up today and tomorrow, and then probably plummet again when investors see roughly $1,000,000,000 get turned into literal ash on livestream.

Who’s ready to watch the rollercoaster?

AI is horrible for charting.

My wife is a Respiratory Therapist. They rolled out AI charting a few months ago and she tried it once. She spent just as much time proof reading the AI notes as it would have taken to write them herself.

The main problems are that medical notes are critical to patient care, and are legal documents that can and will be used in the event of legal action. If you’re using AI to document patient care, you’re opening yourself up to potentially disastrous miscommunication that can very possibly get someone killed or have their life altered. And then if someone does die, now the court can see that you documented things incorrectly and could hold you responsible.

The first time Samsung and micron colluded on dram pricing was in the early 2000s when money was also falling from the sky due to high demand.

The fines they were charged with were a fraction of the profits they gained from price fixing.

It’s almost like having a limited number of manufacturers and a huge demand spike is actually an incentive for price fixing because they can work together to increase profits artificially.

I don’t think you really understand how price fixing and near monopoly markets work. With monopolies and near monopolies, there’s no real downside to colluding on prices, especially in the US where fines are basically guaranteed to be less than profits, and when your company is not headquartered in the US and can’t be forcibly broken apart by the government. If you’re the only company, or one of 3, then you can set whatever price you want. As long as the conspirators agree to pricing, no one will bat an eye at claims of high demand or supply chain issues because all your conspirators also have similarly high pricing.

Usually I say economists are insane cultists. But I really think you could benefit from reading some material on macroeconomics.

You mean the companies that have been tried and convicted in the past of forming a cartel to manipulate DRAM prices, and are now all raising prices through the roof and showing record profits, are not colluding again?

Just because the demand is coming from a different market doesn’t mean the manufacturers aren’t colluding to raise prices and gouge their customers.

The limiting factor for space data centers is absolutely not the cost to build them. The AI industry has already proven that they will burn the GDP of a small country just to have an LLM that shits out slightly better text that has coin flip level odds of being true.

The limiting factor here is one of thermodynamics. A travel mug for coffee works because it has a near vacuum between the inner lining and the outer shell. Vacuums are fantastic insulation because there’s no atoms there to transfer heat away. Very useful if you want hot coffee for a few hours. Space is a big vacuum, and data centers are giant heat generators. You’re basically putting a computer in a perfect insulation medium. It’s really stupid.