It sounds like the model tries to replace governance with automation. Is that realistic, or just theory?
It’s actually both theory and tested design. The team built the system so that major economic levers (like emissions, burns, and reserve emissions) respond automatically to network conditions.
When demand drops, emissions pause. When activity rises, burns kick in to prevent overheating.
There’s still room for governance in long-term decisions, but the day-to-day economic management is handled algorithmically, not politically. It’s closer to how living systems maintain balance than to traditional tokenomics.
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