I’d argue home assistant with some smart LEDs and a few sensors would be great.

Having a bulb that let’s you know the outside temperature/weather when you’re getting dressed in the morning is neat. Having a dimming pattern for sleeping time. Tons of other really simple stuff available too.

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.

I hear theres a few neo Mennonite colonies starting up that only use tech before the turn of the millenia. Maybe you could look into them.

And the vast majority of my automations don’t use it because it isn’t required.

I will stand by what I said, the tool is great even if you don’t touch AI at all with it.

The comment was wrong. It’s an automation tool. It can use ai, but its not the primary focus.

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.

“There is zero chance any of these investments are going to turn a profit.”

This isn’t accurate. There’s a zero chance ALL of them turn a profit, but there’s actually good chance that one or more of them will return a huge profit.

If I invest $100 in a hundred companies, and 99 of those companies fail, you may think I’m a terrible investor. If that 1 company returns $50,000 on my investment though, I’m actually a fucking genius.

That’s how venture capital works.

It really just helps in cases where you get hacked, but the hacker doesn’t have continued access. Say someone physically penetrates into your building, grabs the key through an unlocked station, and leaves.

That being said, like you mentioned, if someone is going through this effort, 45 days vs 90 days likely won’t matter. They’ll probably have the data they need after a week anyways.

Encryption key theft really requires a secondary attack afterwards to get the encrypted data by getting into the middle and either decrypting or redirecting traffic. It’s very much a state level/high-corporate attack, not some random group trying to make a few bucks.

Just sell it through someone else who has an account.

A family member, friend, neighbor, etc.

Taxi companies don’t keep specific vehicles for 20 years, they wear out long before then. Keeping them maintained to pass inspection at that point would be a costly nightmare.

The first Tesla only came out 17 years ago, and it was a 2-door sports car… so yea it’s not really surprising you wouldn’t see 15 year old Teslas regularly. They do exist though. The Model S has only been out for 13 years, and there are definitely still first run Model S vehicles driving around. There are 8 from that original year for sale on Autotrader.com right now, all in running condition.

There are only 2 Prius C from 2012, and 2 more Prius V from the same year. Those were the first years of each of those models as well, just like the Tesla.

I think Teslas are shit though. They’re designer brand electric cars, poor quality, and they make zero financial sense at all compared to full EV models from the likes of Hyundai, Kia, or VW.

Also, like I said in an other comment, Taxis are not driven the same way that a regular person drives their car. Hybrids are absolutely perfect for the Taxi driving use case. They make almost no sense when used once a day to go to work, and then hit the grocery store and gym on the way home.

You mean Comprehension?