AI is more than just a tool to automate tasks that humans once did — it also unlocks new ways of organizing people and resources. Instead of using rigid, standardized frameworks, AI can create flexible systems that adapt to each person’s needs while maintaining overall performance and efficiency.
Transitioning to a cooperative system of work organized by AI will take time and resources. This requires many interconnected parts working smoothly together. Right now, only large organizations can afford to develop complex systems that might take decades to pay off.
However, we can test and improve smaller parts of this system using simplified models, like creative games. These games don’t need physical-world integration and come with fewer risks, but they still offer a space for people and AI to interact and learn.
Our team is passionate about collective decision-making. Recently, we’ve moved beyond just voting and are exploring collective generation — or what we call generative voting. In this system, a “vote” isn’t just a number. Instead, a vote is a piece of content, like a snippet of text. By combining all these pieces, the AI can create a final product that reflects everyone’s input.
Imagine 10 people working on an article. Instead of getting a ranked list of ideas, you end up with a single, complete article that considers everything each person contributed. This approach uses the wisdom of the crowd (SWG) to generate high-quality content.
We want to build a system where each person’s useful contribution is recognized and rewarded. This approach can be applied to designing products. When products are created using collective input, they’re more likely to succeed in the market, reducing the need for replacements. This lowers overall consumption, helps people spend less on goods, and reduces the cost of living.
We’re starting with a simple economic simulator that will generate valuable graphic objects, shaped by collective creativity and confirmed by society.