Meowmoto

We are officially past the point where decentralized AI inference is only a philosophical argument Over the last 24 hours, Gonka processed hundreds of thousands of inferences and billions of AI tokens across the network. Across a decentralized network of real hardware built by dozens of participants - companies and individuals This is still early and rough around the edge, people are still hitting limits, but when they do, it’s another milestone for the network. But this is exactly how new infrastructure starts. Perfection is not important, usability is. It is already real, being used, and improving faster each week The demand for inference is already coming from millions of developers, agents, builders, and users around the world. The question is whether this demand will keep flowing into a few centralized providers or whether it will drift towards an open, verifiable, decentralized alternative If you want decentralized AI to exist, use it. Try the inference, build with it, help other people connect, launch a swarm of agents, and try to bump into the limit to push it further. Every request, every test, every fix, every GPU, every new user makes the network stronger Bitcoin started this way. This is how open infrastructure wins

Our conversation with Alexander Sokolovskiy, seen by 1M+ Russian viewers, is now in English It’s about more than AI. It’s about intelligence becoming infrastructure. The key question: Who owns it? If AI is controlled by a few corporations and states, the future stays permissioned Open models, distributed compute, shared intelligence Let’s build that future youtu.be/2-3CFlNk180

Anthropic has not released its most powerful model to the public and has given access only to a closed group of partners - Apple, Meta, Microsoft, Nvidia This is not an exception. It is a pattern Not long ago, public leaders in the industry were saying that AI would be accessible to everyone, that it would expand human potential. In reality, we are returning to a familiar structure: a closed club, selective access, control This is not about safety, no matter how it is framed. It reflects a deeper logic of elites - dividing the world into insiders and outsiders and controlling access to key resources In the past, those resources were oil, energy, finance, water. Now intelligence and compute have been added to that list And the outcome is always the same: not abundance, but competition for access, gatekeeping, constant tension and conflict AI is only accelerating this dynamic. For the first time, this is not just about resources, but about a system that shapes thinking, decisions, and the structure of society itself If this layer remains centralized, we do not get a future of abundance, but a more advanced form of dependency So the question is no longer about technology. It is about architecture Either AI remains in the hands of a few players, and the world is ultimately divided between those who have access and those who do not Or an alternative layer emerges - decentralized compute, open-weight models, distributed infrastructure This is the only way to break the cycle in which resources inevitably concentrate in the hands of a few Otherwise, history will repeat itself. And we will find ourselves back in the Thucydides Trap