I mean, we really don’t have the data to prove this either way.

https://www.tomshardware.com/tech-industry/artificial-intelligence/faulty-nvidia-h100-gpus-and-hbm3-memory-caused-half-of-the-failures-during-llama-3-training-one-failure-every-three-hours-for-metas-16384-gpu-training-cluster

Meta’s training of Llama3 405B model had a 1.34% failure rate for GPUs over the 54 days it ran, across 16387 gpus. It’s not likely that all of those faults led to bricked hardware either, they could have just lost part of their performance or memory.

The real question is does that test scale to the long term, often with hardware like this there’s a bathtub curve for failure. If those units used were brand new, many of the failures could have just been the initial wave of failures, and there could be a long period of relative stability that hadn’t even been seen yet.

GPU based coin mining demonstrated that GPUs often had a lifespan over 5 years of constant use before failure on consumer cards in often less than ideal operating conditions.

You’re pulling shit out of your ass at this point, there are some doom reports out of people suggesting that may be a problem, but there are also reports out of other companies(meta for example) with documentation saying the rate is much lower and the mean failure is 6+ years.

The other leftovers from the crash also won’t have that problem. It’s not just about GPUs. Datacenters and their infrastructure last a lot longer, and the electric generation/transportation networks will also potentially be useful for various alternative applications if the AI use case flops.

They’re still somewhat functional for those workloads, and they can even use those low-precision components to emulate high-precision using libraries like cublas, though obviously not as fast as hardware that could do it natively.

It’s not like they can’t do it at all. It’s just that Hopper was better at FP64 than Blackwell is but if Blackwell chips become effectively free due to an AI crash then you could likely still use them in that capacity.

The power costs are nothing compared to the hardware costs for those things.

Getting the massive power required is difficult for datacenters but the usage per unit of compute is actually quite low.

It’s important to note that in some previous bubbles, the leftovers of the crash ended up spurring new beneficial growth after.

GPUlike computing power available at scape for essentially free after the ai crash could be used in all sorts of potential ways.

Maybe it makes rending movies with special effects super cheap, and available even to tiny indie studios. Maybe scientists grab it for running physics simulations or disease treatment computations.

Is this happening? Probably

Unless you’re in a desert with no stores around, in which case the person with 50 waters is going to tell you to go take a hike because that dollar is useless to them but the water will keep them alive.

Because there were few enough people at that point in history, and they rarely moved around enough, such that a second name would be necessary to tell people apart.

Hard disagree, those types of stereotypes are established in youth long before the kids start reading articles.

Pretending special classes of people don’t exist is just stupidity.

They definitely do exist.

The vast majority of people who join the military aren’t thinking so logically about the situation. They’re young, stupid, and often the money and benefits are the only real priority.

Just sell it through someone else who has an account.

A family member, friend, neighbor, etc.

You mean Comprehension?

Money…

No country can last forever, renewal is just as important for governments as forest fires are to restoring the balance in nature.

Is it painful? Yes.

Is it necessary eventually? Also yes.

No.

But there’s plenty of historical precedent for countries splintering.

The molecules are also mostly created through the use of energy from our sun.

That’s not all of it.

Part of that is going to depend on what exactly you’re doing with the computer, and how fast the other components are.

If you’re just browsing the internet and want to be able to have more than 5 tabs open before your computer starts stuttering, the extra ram will be far more important than the speed.

If you’re playing games, and your CPU and GPU are really good compared to your ram already, the bottleneck from the ram speed dropping may slow things down rather than speed them up.

Each thing gets washed once, with the appropriate chemical if needed.

Generally for the toilet bowl, something with bleach.

For surfaces like the toilet and sink, especially in a bathroom, I usually swap between using just some vinegar and Fantastic all purpose cleaner. Vinegar is fine most weeks, Fantastic once in a while to get some of the stuff Vinegar may not have got properly with those extra chemicals that it has but I could easily go months without needing it.

I use water and a microfiber cloth for the mirrors and the faucet, a drop of dish soap if there’s something on it (like dried toothpaste spittle). This also works for walls most of the time if you wipe those, but I don’t wipe my walls very regularly, maybe once a year.

Hot water is fine for the tile floor too, maybe it gets something stronger a couple times a year.

You don’t need a lot unless someone in the household is sick with something that could be transmitted through a bathroom. Then hit it with harsher chemicals.

One thing to note may be that in certain warmer climates, there are other considerations for mold and bacterial growth that I do not have to worry about where I live (in a cooler climate)