you mean the Gestapo since GDR was integrated into the west German model

What specifically are you doubting here?

https://www.marxists.org/archive/lenin/works/1917/staterev/

oops fixed

Also, it might be possible to engineer life forms that can actually survive and even thrive in space.

We cannot understand class behavior by examining individual morality. Viewing the capital owning class as a collection of mustache twirling villains is not a useful framing. Rather, we should look at them as the human personification of capital itself. Their social being, their entire material condition, is defined by the accumulation of private profit and the protection of property relations that enforce their dominance.

Their inability to relate is not a personal failing but a direct result of their objective position in the capitalist mode of production. They live in a world insulated from the precarity of rent, medical debt, and wage slavery that defines life for the working majority. Their consciousness is shaped by them being insulated from the problems regular people experience. Therefore, critique of their lack of empathy is a liberal dead end because it mistakes a systemic outcome for a personal choice.

The focus must be the capitalist system itself, which necessarily produces the inequality and the divide between the capitalists and the workers. The fundamental contradiction between the socialized nature of production and the private appropriation of wealth is the core issue. The solution is to dismantle the economic base that creates them as a class and move towards a system where the means of production are socially owned, abolishing the very material conditions that breed alienation and disparity.

It’s a completely different situation in China. This tech is being treated as open source commodity similar to Linux, and companies aren’t trying to monetize it directly. There’s no crazy investment bonanza happening in China either. Companies like DeepSeek are developing this tech on fairly modest budgets, and they’re already starting to make money https://www.cnbc.com/2025/07/30/cnbcs-the-china-connection-newsletter-chinese-ai-companies-make-money.html

I mean the paper and code are published. This isn’t a heuristic, so there’s no loss of accuracy. I’m not sure why you’re saying this is too good to be true, the whole tech is very new and there are lots of low hanging fruit for optimizations that people are discovering. Every few months some discovery like this is made right now. Eventually, people will pluck all the easy wins and it’s going to get harder to dramatically improve performance, but for the foreseeable future we’ll be seeing a lot more stuff like this.

Almost certainly given that it drastically reduces the cost of running models. Whether you run them locally or it’s a company selling a service, the benefits here are pretty clear.

Sure, it’s not a surprising finding since the environment is a stable selection pressure driving evolution. It’s still nice to have these studies to confirm our intuition on the subject.

That’s still interaction with the environment though, what this research shows is that even without any such interaction the structures form. So, they’re not shaped by the environment, but are a type of firmware that’s encoded within the genes.

truly

There has been a theory that the weights for the neural connections get mostly shaped by the environment, but this research shows that there’s effectively firmware wiring that will emerge without any external stimulus.

I haven’t tried it with ollama, but it can download gguf files directly if you point it to a huggingface repo. There are a few other runners like vllm and llama.cpp, you can also just run the project directly with Python. I expect the whole Product of Experts algorithm is going to get adopted by all models going forward since it’s such a huge improvement, and you can just swap out the current approach.

exactly, a great tv series on the subject incidentally https://www.imdb.com/title/tt0078588/

I’ve literally been contextualizing the article throughout this whole discussion for you. At least we can agree that continuing this is pointless. Bye.

And once again, what the article is actually talking is how LLMs are being sold to investors. At this point, I get the impression that you simply lack basic reading comprehension to understand the article you’re commending on.

I agree with your point on infinite recursion, and that is precisely why intelligent design is not a useful framework. It is a thought terminating cliche that provides the illusion of an answer without the substance of one.

Saying a designer did it, doesn’t explaining anything, and just pushes the explanation back to a theoretically complex designer who in turn needs its own explanation. This halts all scientific inquiry. If we treat junk DNA or physical constants as mysterious designs, we stop looking for their mechanical functions. It is far better to sit with the discomfort of the unknown than to embrace a pseudo answer that shuts down investigation.

The title is not false. If you actually bothered to read the article, you’d see that the argument being made is that the AI tech companies are selling a vision to their investors that’s at odds with the research. The current LLM based approach to AI cannot achieve general intelligence.

Indeed, and another point to consider is that it’s highly unlikely we’d observe a civilization at our level of development. Life on Earth appears around 4.5 billion years ago. Humans start evolving around 2.8 million years ago. Use of language appears around 100,000 years ago. Writing is invented around 5500 years ago.

Inventions of language and writing are the landmark moment here. Before language was invented the only way information could be passed down from ancestors to offspring was via mutations in our DNA. If an individual learned some new idea it would be lost with them when they died. Language allowed humans to communicate ideas to future generations and start accumulating knowledge beyond what a single individual could hold in their head. Writing made this process even more efficient.

So, after millions of years of life on Earth no technological development happened. Then when language was invented humans started creating technology, and in a blink of an eye on cosmological scale we went from living in caves to visiting space in our rocket ships. It’s worth taking a moment to really appreciate just how fast our technology evolved once we were able to start accumulating knowledge using language and writing.

Now let’s take a look at how technology itself has been evolving. Once we discovered radio communication we went through a noisy period where we were leaking a lot of our broadcasts into space, and within a span of a 100 years we started using more efficient communication, and encryption. If somebody intercepted our broadcasts today they would look like noise because they’re designed to look like noise. Our society today is utterly and completely unrecognizable to somebody from even a 100 years ago. If we don’t go extinct, I imagine that in another thousand years future humans will be completely alien to us as well.

So the period during which intelligent life would be recognizable to us during its course of evolution is infinitesimally small. The time between creating language and becoming an advanced technological society is measured in thousands of years, while evolution of life is measured in millions of years. The chance of two different intelligences finding each other at exact same stage of development where they might be able to communicate is incredibly unlikely.

I would also imagine that the biological phase for intelligent life is rather short. We’re likely to develop human style AIs within a century, and they will be the ones to go out and explore the universe. Meat did not evolve to live in space, we’re adapted to gravity wells. An artificial life form could be engineered to thrive in space without ever needing to visit planets. This is the kind of life that’s most likely to be prolific in space. Furthermore, post biological intelligences would likely be running at much faster speeds than our mental processes operate on. What we consider real-time would be might we consider to be geological scales. Such beings might consider what we view as real time akin to the way we look at continental drift. We’re aware that it’s happening, but it’s of little interest to use on day to day basis. It’s quite possible that advanced civilizations become solipsistic and care little for the outside universe.

For all we know the Universe may be teeming with intelligent life and we just don’t recognize it as such. We might be like an ant hill next to a highway looking to see if there are other ant hills around.