Beware of "AI-added public chains"; why VANRY makes me rethink the logic of infrastructure
1. The essential difference between AI-first and AI-added
Most public chains adopt the "first the chain → add AI modules" model, which cannot meet the AI system's demands for predictability and cost control. AI, as a continuously operating agent, needs to eliminate noise from traditional mechanisms such as transaction fee fluctuations and transaction ordering games.
2. Vanar's reverse engineering thinking
1. Deterministic cost model: Fixed dollar-denominated transaction costs that support AI in accurately planning long-term operating costs
2. Machine-friendly rules: Adopt "first come, first served" transaction ordering to compress human gaming space
3. Long-term stability design: The mainnet's initial 24-hour stablecoin supply exceeded 7 billion, with a pledge rate over 40%
3. The crossroads of infrastructure evolution
A true AI-first public chain needs:
- System-level adaptation: Restructure consensus mechanisms and economic models
- Preset non-human users: Reserve interfaces for agents
- Innovative value scale: VANRY as a long-term potential stable value anchor
4. Future public chain filtering standards
1. Is there a preset existence of non-human users?
2. Does the economic model support long-term predictability?
3. Does the core mechanism consider AI decision logic?
Vanar chooses to design infrastructure in reverse from AI demands, and this idea of "assuming a more stringent future" may break the current public chain dilemma. This article represents personal observations and does not constitute investment advice.
