Web3 Principles
Incumbent systems of governance centralise power, and modern technology places far too much power in the hands of far too few.
| PRINCIPLE | VALUE TO HUMANITY | IMPORTANCE FOR AI PROGRESS | OBSTACLES |
|---|---|---|---|
| Censorship Resistance | Essential for preserving democracy against authoritarian overreach. | Prevents centralized control of AI training data | Corporate/governmental control of infrastructure |
| Composability | Enables communities to combine tools to solve local problems | Facilitates open-source AI ecosystems | Lack of module standardization |
| Data Privacy | Maintain privacy of important records stored on public blockchains | Protects sensitive AI training data | Privacy/transparency balance |
| Interoperability | Cross-border and boundary collaboration | Enables multi-chain AI verification | Protocol fragmentation |
| Permissionless | Everyone can innovate and participate | Prevents AI capability gatekeeping | Computational costs |
| Self-Sovereign Identity | Proof of Personhood (Counter Deepfakes) and Cross-borders Identity (Human trafficking) | Enables provable data provenance | SSI adoption rates |
| Verifiable Truth | Replace trust with predictable outcomes. | Provides AI decision audit trails | Verification overhead |
Legacy Systems
The problems with legacy systems
- Top down is out of touch.
- Centralised authorities can change the rules on you, protocols can't
- Corridors of power are targeted channels for corruption