Applied investigation · Gonka
GNK Tokenomics
Gonka is a network for running AI models; GNK is its token. This proposal studies how prices, payments and token rewards could make the network sustainable for compute users and hosts supplying computing power.
Test the economics before asking the network to adopt them.
The proposal asks how customers can buy useful compute at viable prices, how hosts can sustain their participation, and how paid use could create demand for GNK. The research question is where these interests reinforce each other and where they conflict.
Service pricing determines what customers pay for computing power. Token conversion determines how that payment translates into GNK. Issuance determines how new tokens enter circulation and reward hosts. The model must account for these mechanisms together, including token burn (permanent removal from circulation), and their effects on demand and hosts' willingness to stay.
Shared knowledge and the AI-agent team are the research foundation for comparing mechanisms and testing failure scenarios. The method distinguishes a reproducible simulation from empirical support for its claims about the network.
From specification to a network decision
- publish an open specification across task types and network interfaces
- build a simulation of the network economy and test changes in demand, price and host participation
- put assumptions and candidate ranges through host review
- publish the proposed implementation for review without activating it
- treat activation as a separate network vote
Proposal does not mean adopted tokenomics.
Parameters not fixed. Not activated. Candidate ranges must survive simulation, host review and implementation review before a separate network decision.
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