

I suspect it will because the old and gas supplies problems are structural now. Significant chunk of the infrastructure in the Gulf is destroyed already, the tankers aren’t moving, and not likely to start moving any time soon. Even when they do it’s going to be a long time before supply levels can go to anything like prior levels. So, we’re now looking at years of disruption. That’s very different from any other energy shock in living memory. So, countries will either have to start moving towards renewables or their economies are going to start crumbling. Either way the emissions will be going down. And by the time this all blows over we’re going to be living in a whole new world.
Indeed, and the whole culture of rugged individualism doesn’t really help things either. People in a socialist society like USSR were able to come together and help each other, but in the US it’s going to be dog eat dog.
I expect this sort of stuff will make the collapse in the US far worse than it was for USSR. Car culture entirely depends on well functioning logistics. Once those start to break down then all hell is going to break loose. It’s only going to take a short disruption of food and fuel being delivered to the suburbs to make them unlivable.
Perfectly illustrating how superficial freedom of choice is in the west.


Imagine living in a shithole like Germany and thinking that China has a broken system. 🤣


Maybe stop guzzling propaganda there and try engaging with reality. It’s absolutely incredible how after 4 years people are still not able to realize they’re being lied to.


I love how rankled all the libs get when they see this.
I grew up in a Soviet apartment bloc, and I did way more exploring outside than kids living in suburbia could ever hope to. For one, it was completely safe to let kids go out and play on their own. There were always green spaces and playgrounds between a few apartment buildings, and you’d go and play there.


wrong site to clown around on, go back to reddit


vassals will vassal


I expect so as well, and China also has a lot of incentive to invest in alternative substrates since they’re behind on silicon. If one of these moonshot projects they’re pursuing delivers that would make current silicon chips look like vacuum tubes by comparison.


There are a few different tracks here. One is software optimizations where models require less energy to use. That’s been moving really fast over the past few years, and there are still a lot of papers that haven’t been integrated into production systems that are really promising.
Another track is hardware architecture where the substrate stays the same, but chip design improves. A general example of this is SoC architecture like M series from Apple of Kirin 9000 from Huawei. The architecture eliminates the memory bus which is one of the main bottlenecks, and RISC instruction set facilitates parallelism much better than SISC. A more specific example would be ASIC chips like what Taalas is making which print the model directly on the chip.
And the last track is the one you mention with using a more efficient substrate. Notably this will directly benefit from the other two tracks as well. Whatever software and hardware architecture improvements people come up with, will directly apply to chips made out of graphene or other materials.


I expect that software will continue to get optimized, and we’ll see new algorithms that are more efficient than what people are doing currently. However, it’s possible we’ll start seeing hardware specifically built for models as well. For example, there’s already a startup that uses ASIC chips to print the model directly to the chip. Since each transistor acts as a state, it doesn’t need DRAM and the whole chip requires a small amount of SRAM which isn’t in short supply right now https://www.anuragk.com/blog/posts/Taalas.html
The limitation with this approach is that the chip is made for a specific model, but that’s not really that different from the way regular chips work either. You buy a chip and if it does what you need, it keeps working. When new models come out, new chips get printed, and if you need the new capabilities then you upgrade.
You can see how absurdly fast their hardware version of llama 3 is here https://chatjimmy.ai/


I think by the time AI becomes efficient enough to be profitable, it’s going to be efficient enough to run locally and the whole AI as a service business model is going to collapse. We’re basically in the mainframe era of AI right now, and we’ve seen this happen with many technologies before. There’s no reason to think this case will be different.
Just to give you an idea of how fast this stuff is moving. Qwen 3.6 was just released and can be run on a high end laptop, it outperforms Qwen 3.5 from February which required a commercial grade server to run. https://qwen.ai/blog?id=qwen3.6-27b


as a percentage of land


western propaganda isn’t exactly subtle nowadays


Basically, China is strengthening ties with their neighbours here. It also suggests that China isn’t really worried about oil shortages going forward. So, if the US was trying to use the war on Iran as an attack against China’s energy supplies, looks like that turned out to be a massive miscalculation.


Exactly, and people are already doing this stuff incidentally https://github.com/albertan017/LLM4Decompile
Yeah, it’s kind of unthinkable today honestly. I don’t know anybody who’d just let their kids out on their own, and you’d probably get charged with neglect if you did.