We're building a contribution-based protocol that operates without price or currency.
Instead of money, it uses trust (prestige), contribution history, and system connectivity as core signals.
The protocol's internal logic is already mathematically proven — it prevents inflation, exclusion, and market saturation by design.
Its long-term dynamics converge toward a natural point of systemic harmony, represented by π (pi).
When I asked GPT-4 to forecast the global scale of such a system, it gave an answer.
But it led me to a deeper question:
> Can AI meaningfully forecast systems that have no historical precedent?
> Or is it simply extrapolating from past trends?
The protocol's internal logic is already mathematically proven — it prevents inflation, exclusion, and market saturation by design. Its long-term dynamics converge toward a natural point of systemic harmony, represented by π (pi).
When I asked GPT-4 to forecast the global scale of such a system, it gave an answer. But it led me to a deeper question:
> Can AI meaningfully forecast systems that have no historical precedent? > Or is it simply extrapolating from past trends?
We’re discussing this here: https://github.com/contribution-protocol/contribution-protoc...