Fair enough. I’d be fine being wrong.
Improved efficiency would reduce the catastrophic energy demands LLMs will have in the future. Assuming your reality comes true it would help reduce their environmental impact.
We’ll see. This isn’t first “it’s the future” technology I’ve seen and I’m barely 40.
I’ll take a step back. These LLM models are interesting. They are being trained in interesting new ways. They are becoming more ‘accurate’, I guess. ‘Accuracy’ is very subjective and can be manipulated.
Machine learning is still the same though.
LLMs still will never expand beyond their inputs.
My point is it’s not early anymore. We are near or past the peak of LLM development. The extreme amount of resources being thrown at it is the sign that we are near the end.
That sub should not be used to justify anything, just like any subreddit at any point in time.
It’s not easy to solve because its not possible to solve. ML has been around since before computers, it’s not magically going to get efficient. The models are already optimized.
Revenue isn’t profit. These companies are the biggest cost sinks ever.
Heating a single building is a joke marketing tactic compared to the actual energy impact these LLM energy sinks have.
I’m an automation engineer, LLMs suck at anything cutting edge. Its basically a mainstream knowledge reproducer with no original outputs. Meaning it can’t do anything that isnt already done.
None of this is true.
I’ve worked on data centers monitoring power consumption, we need to stop calling LLM power sinks the same thing as data centers. Its basically whitewashing the power sucking environmental disasters that they are.
Machine learning is what you are describing. LLMs being puppeted as AI is destructive marketing and nothing more.
LLMs are somewhat useful at dumb tasks and they do a pretty dumb job at it. They feel like when I was new at my job and for decades could produce mediocre bullshit, but I was too naive to know it sucked. You can’t see how much they suck yet because you lack experience in the areas you use them in.
Your two cost saving points are pulled from nowhere just like how LLM inference works.
The current machine learning models (AI for the stupid) rely on input data, which is running out.
Processing power per watt is stagnating. Moors law hasn’t been true for years.
Who will pay for these services? The dot com bubble destroyed everyone who invested in it. Those that “survived” sprouted off of the corpse of that recession. LLMs will probably survive, but not in the way you assume.
Nvidia helping openAI survive is a sign that the bubble is here and ready to blow.
When AI is actually invented I’ll call it AI. Right now we have a steroid juiced parrot that’s based on old school machine learning. Its great at summarizing simple data, but terrible at real tasks.
This is more people who aren’t dumb telling the marketing teams to stop hyping something that doesn’t exist. The dot com boom is echoing. The profit will never materialize.
I was going to shit all over this thing, but if it can do ~500hp continuously that’s awesome. Wonder what kind of efficiency it has and what the cooling requirements are. That low weight puts us back into unsprung wheel motor territory, especially if it scales down well.
I work in supply chain and manufacturing now lol. Tesla is a major fuck up of a company.
I worked with some of their engineers after they left and they aren’t very bright.
Redesigning the handle by 2027 is stupid easy. I have an masters in mechanical engineering, this could be done with mostly off the shelf parts. Tesla is being a bitch like normal.
You aren’t being banned. You’re are being fact checked, cuck.
You are one of the worst cucks I’ve ever seen. Go read this guy’s comment history, holy shit.
Right, I’m not arguing that landlords are good. They seem to be a symptom of a system set up to encourage their shitty behavior.
I do wonder if a housing co-op is protected by law in some way. Or more likely it relies on a few people having good intentions who are running it. A housing co-op with no intent of profiting, ever, would be a good system imo.
Mod removed my post without reason. Maybe cussing offended them.
The market seems to self select for bad landlords. All the well intentioned ones I know got burned and stopped renting.
People not understanding the actual cost of owning and maintaining a house is my only argument for landlords. Or if you maintain it yourself it’s a knowledge and time requirement.
Not saying landlords did a great job maintaining the rentals I’ve lived in. But there was definitely a point in my life where renting made more sense than owning a house.
We really need more control on rent prices so only high density housing is rentable. Or something, I don’t have answers for why my shitty house is worth 70% more than it was 5 years ago.
In somewhat decent states we have it. Oregon does 12 weeks paternity leave and allows it to be intermittent. I did 2 days off for several months recently for our newest screaming asshole of a baby.
Yeah I’ve never heard anything good about jeeps in general. Now they are being run further into the ground by trying to become a luxury brand. At least when it was just a shitty jeep, it was still a somewhat cheap shitty jeep.
It was the weirdest shit. He doesn’t know anything about towing or hauling. His cybertruck is the first truck like vehicle he has ever owned and for some reason his ego tells him he’s qualified to help. Its probably his total lack of experience that caused his upset.
To redeem him a bit he is incredibly willing to help people. He’s just got more money than brains and experience lol.
The one person I know who owns a cyber truck was upset when I didn’t call him when I had a truck needing emergency, my wife’s car had broken down on a freeway offramp. The people that own these stupid things are cos playing as truck people even moreso than the average truck owner. The weirder part of his upsetness is, I was already driving a 3/4 ton truck because my commuter vehicle was not running. All I had to do was go get a uhaul trailer and go get her car. My mind is still boggled that he threw a fit about not calling him.
The slowness was mostly a hardware issue. It’s basically like driving a second monitor, and a lot of the slower phones struggled with it early on.