I suspect there’s also an aspect of chauvinism here at play. If people already have a predisposition to see themselves as superior, then these kinds of stories feed into what they already want to believe.

Right, I think the key difference is that we have a feedback loop and we’re able to adjust our internal model dynamically based on it. I expect that embodiment and robotics will be the path towards general intelligence. Once you stick the model in a body and it has to deal with the environment, and learn through experience, then it will start creating a representation of the world based on that.

Aww y’all still mad your color revolution failed?

European politicians are too busy seeing how far their tongues can reach up Trump’s ass to do that.

I would bet money in it happening at this point, and all the European ‘leaders’ pretending like it’s completely normal.

It seemed pretty clear to me. If you have any clue on the subject then you presumably know about the interconnect bottleneck in traditional large models. The data moving between layers often consumes more energy and time than the actual compute operations, and the surface area for data communication explodes as models grow to billions parameters. The mHC paper introduces a new way to link neural pathways by constraining hyper-connections to a low-dimensional manifold.

In a standard transformer architecture, every neuron in layer N potentially connects to every neuron in layer N+1. This is mathematically exhaustive making it computationally inefficient. Manifold constrained connections operate on the premise that most of this high-dimensional space is noise. DeepSeek basically found a way to significantly reduce networking bandwidth for a model by using manifolds to route communication.

Not really sure what you think the made up nonsense is. 🤷

I’m personally against copyrights as a concept and absolutely don’t care about this aspect, especially when it comes to open models. The way I look at is that the model is unlocking this content and making this knowledge available to humanity.

Ah yes, they must be stealing IP from the future when they publish novel papers on things nobody’s done before!

The EU is not willing to refute Trump’s statement that “the EU needs us to have Greenland and they know that.”

https://cdn.masto.host/socialmarxistnetwork/media_attachments/files/115/849/864/730/015/352/original/9c10d57b3d084095.mp4

I do indeed hate living under capitalism

I think you meant to say that Ukraine shows how not to deal with enemy oil processing facilities since they haven’t managed to make any tangible impact on Russia’s oil production https://oilprice.com/Latest-Energy-News/World-News/Russias-Oil-Output-Held-Steady-in-2025.html

for literally everyone except eurofash

don’t threaten me with a good time like that

I’m actually building LoRAs for a project right now, and found that qwen3-8b-base is the most flexible model for that. The instruct is already biased for prompting and agreeing, but the base model is where it’s at.

the media doesn’t exactly bring it to people’s attention, so you really have to go digging on your own to find out

It’s very telling seeing how the Western countries reacted to Russia invading Ukraine, the genocide in Gaza, and now the US invading Venezuela. It’s now crystal clear that the West does not care about any moral principles, and the actual tension over Ukraine is whose sphere of influence it’s under.

Yup, and this is precisely why it was such a monumental mistake to move away from GPL style copyleft to permissive licenses. All that achieved was to allow corporations to freeload.

Whose domestic capacity?

I very much agree there, but think of how much worse it would be if we were stuck dealing with proprietary corporate tech instead.

How is that wishful thinking? Open models are advancing just as fast as proprietary ones and they’re now getting much wider usage as well. There are also economic drivers that favor open models even within commercial enterprise. For example, here’s Airbnb CEO saying they prefer using Qwen to OpenAI because it’s more customizable and cheaper

“We’re relying a lot on Alibaba’s Qwen model. It’s very good. It’s also fast and cheap,” he said. “We use OpenAI’s latest models, but we typically don’t use them that much in production because there are faster and cheaper models.”

I expect that we’ll see exact same thing happening as we see with Linux based infrastructure muscling out proprietary stuff like Windows servers and Unix. Open models will become foundational building blocks that people build stuff on top of.