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  • 543 Posts
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Joined 3 years ago
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Cake day: June 2nd, 2023

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  • Its like reading straight from the fossil fuel propaganda.

    Absolutely untrue. All of it. It might have been true 15 years ago but not anymore.

    My EV loses about 20% in the cold at its worse. We charge every four days instead of every five. Hardly “significant”.

    the combustion engine is still significantly more efficient at creating the kinetic energy from raw oil than an EV from any type of power plant’s fuel

    bruh the entire video you’re commenting on here is a 40 minute in depth explanation on how inefficient gasoline engines are at kinetic energy and why hybrids are literally filling that gap

    as well as idle waste

    This is such an edge case. “Hey if you let your vehicle sit for months on end that energy may go unused”. Not only have I not experienced this, and I’m highly skeptical of this claim, it is overwhelmingly outweighed by how you haven’t literally been burning gasoline the entire life of the vehicle.

    If we’re looking at air conditioning and other electrical stuff, the engine and alternator system is probably not quite as efficient at charging the battery as the power grid and EV chargers are. It’s at least closer.

    Probably? Tell me how the alternator which is a mini generator is “not quite” s efficient as the industrial generators whose job it is to literally do it 24/7.

    Dude we’re already there. We already did close the gap. Literally everything you said was provably false and straight from what big oil wants you to think.

    I own an EV personally. I have personally debunked absolutely everything you have said and everything else that has been hurled at me for why they are so horrible. It is by far the easiest vehicle I’ve ever owned, the most reliable, and I will never go back to an ice vehicle. My entire “fill up” equivalent price is $6 of electricity. Total. The total amount of driving to offset the mining/initial construction offsets was about 12k miles, which we are well past. The battery keeps a charge now just as well as the day it rolled off the lot.

    So please, feel free to keep throwing more basic “they just won’t work” excuses because I’m literally driving proof every day that they’re wrong.







  • Damn, the average efficiency of an internal combustion engine is <30%, with the best hovering around 40%. That’s an insane waste energy, and does explain why they get so hot.

    This is why the anti-EV propaganda is so bunk. Even if you plug an EV into a grid that is 100% dirty coal powered, you’re still more efficient than hauling around a gas engine that has such a low efficiency. Turns out, power plants don’t like wasting that much energy and do everything they can to squeeze as much power as they can out of it.

    Then you add on that even the worst power districts in the US sit around 40% renewables and… yeah.


  • That all makes sense to me, and lines up with what I’ve been reading too. I saw the model download and I was like “guhhhh” to it because I was also excited to try it on my 3090. I’ll be waiting for the quants.

    Yeah I like the end there too, that OpenAI / Anthropic have been desperately trying to figure out how to do this, and a few guys with limited hardware did it. When you have unlimited resources, you end up needing unlimited resources. When you only have 300 GPUs, you make it work. It’s why tech is littered with people starting in garages, they found a way to make it work.




  • Sure, but that’s not my point. Social pressures aside, there is no way for instance a to control what instance (or server, or data collector) B does with it. Unless you audit every server federated, there is no way to know if anyone is doing anything with your data.

    3 letter agencies can and may even already have servers that look like ordinary fediverse servers already just happily listening and storing everything. No amount of social pressure here is going to stop that. So all users need to understand this about the fediverse, that anyone can do whatever they want with your data whenever. For privacy, go to Matrix.


  • I think we’re seeing a lot of optimization right now. The most exciting one I’ve seen is TurboQuant. Short version, every message you send to a model has context, the entire conversation you’ve had, instructions, skills, everything. That takes up an exponential amount of ram, and this is what is causing the VRAM/RAM shortage. TurboQuant (and other copycats now) claims that it can reduce that VRAM usage of the context by 20x. That’s absolutely huge, that’s 1M context models running on consumer hardware potential huge.

    Deepseek v4 also boasts some large claims, saying they have a model that does better than Anthropic’s or OpenAI, while being 1/10th the size. That also is a huge reduction in compute and VRAM, but I’ll be looking for the proof.

    We’ve seen other items too, with upgrades in running models, how quickly results are streamed, to me TurboQuant is the most exciting.

    I think it’s good that they’re finally looking at optimization. Yes, their cost has been power and compute. NVidia is more than happy to keep things inefficient because they sell GPUs that way. Software companies are doing the opposite now, reducing the compute overhead to start saving them money, which they desperately need to do if this is going to continue. New technology has always been horribly inefficient, it’s only once more people see it does it start to get optimized.

    I think this is what is going to be required to finally push past the horribleness of AI companies, and they need to do this quickly.