AI generated summary
As AI reshapes the global economy with unprecedented growth potential, there's a risk of power concentration in large corporations and states. To prevent crises in labor, democracy, and economics, we need a decentralized cybernetic economy. This involves open-source ML, blockchain, and P2P networks, creating a system where AI capabilities are distributed, transparent, and respect individual sovereignty. The goal is empowering individuals rather than centralizing control.
Post-scarcity world is near, but so do the dangers of coercion and inequality.
Technology can achieve prosperity for all but that’s not the default path. How can we build an open cybernetic economy for the AI age?
10 years ago, @cyberFund_ published a report on the technologies transforming society and economy.
Since then, Ethereum, Transformer-based LLMs and other breakthroughs emerged. It’s time to revisit and update those ideas.
https://t.co/HXOftILwAt
AI is reshaping the world economy. Why?
- LLMs scale predictably in training & inference
- It extends to complex, agentic, multi-agent systems
- General, impacts every sector
- Self-reinforcing: better AIs build better AIs
Intelligence is defined as ability to solve problems.
Solving problems creates knowledge.
As @DavidDeutschOxf notes, demand for knowledge is infinite. AI represents the largest market ever, driving trillions in investment.
Most macroeconomic indicators have surged since the industrial revolution And it's expected to grow further with AI and other technological advancement fueling this growth.
https://t.co/apZfHPAwto
But the economy has a problem.
Tech drives growth, but societal coordination lags behind. Outdated institutions are unfit for a digital age.
https://t.co/zC0XFXjted
The default path for AI is that it will be accelerating many areas. But it will also be a huge centralizing force due to enormous investments and economies of scale. Which means only the largest state actors and corporations will develop and control the technology.
https://t.co/4F2IazeNyu
Such imbalance might lead to multiple crises across different areas of the economy:
Cybernetic economy is defined by a shift from manual, opaque, hierarchical, inert institutions to the decentralized, programmable, verifiable, self-regulating alternative.
https://t.co/eAY0qU02U8
This isn’t a product.
It’s a set of technologies enabling higher personal agency in a digital-first world: cryptography, blockchain, open-source ML, decentralized ID/orgs, p2p networks
https://t.co/nQATtp6P7h
On the AI side on things, we need a whole stack of decentralized AI. Open models alone don't solve the problem as they are produced by only a few companies and the whole pipeline is not really open.
Decentralized pre-training and fine-tuning network that allow crowdsourced model creation and leverage decentralized network of hardware operators.
At the inference level we need a variety of private and public (but verifiable) models, as well as edge compute to effectively distribute AI capabilities across devices, reducing reliance on centralized infrastructure.
https://t.co/pcb95W8Csa
Finally, at the application level, we need interoperable agentic systems where AI agents can interact, trade, and collaborate autonomously while respecting individual privacy and sovereignty.
https://t.co/hKnjfKR3E3
It’s not just about tech. Governance must align incentives, ensure transparency, and resist monopolies. This isn’t about selling tokens. It’s about new, distributed AI creation and ownership.
These changes are inevitable. The question isn’t “if” but “who” will control the future.
We must build a system that empower individuals, not concentrate power in corporations or states.
This is what we call a Cybereconomy.