AI access to registered content during training or generation triggers on-chain royalty distributions, leveraging Camp’s registry and smart contracts.

Interoperability is highlighted with Ethereum through DVN and SideCAMPs, enabling cross-sector IP enforcement and data sharing.

The article frames Camp Network as additive infrastructure rather than a competing protocol, potentially contributing to a broader, provable-IP-enabled AI data ecosystem.

Camp Network proposes a layer-1 blockchain with a proof-of-provenance approach to immutably register authorship and the transfer and attribution of people’s work, enabling automatic licensing enforcement through smart contracts.

Its PoP protocol aims to immutably log authorship and licensing terms for digital content and data used by AI models, laying groundwork for provable attribution and automated rights management.

The piece notes that AI models trained on vast public and private data raise IP-rights concerns and threaten traditional creator incentives by potentially concentrating power among data- and compute-rich actors.

It argues that training AI on copyrighted works could undermine IP incentives and consolidate influence with those who control data and compute resources.

Camp Network’s tokenomics center on 10 billion CAMP tokens, with about 2.1 billion in circulation and multi-year vesting for founders, grants, and protocol development to incentivize participation.

The token model includes caps on monetization and emphasizes staking rewards and ecosystem incentives, with DVN enabling secure cross-chain verification.

The network supports around 141 dApps, is EVM-compatible for easier migration, and employs a governance/verification framework to ensure traceable origins and automated compensation when AI uses registered datasets.

Proof-of-provenance tracks IP origin and licensing terms, with BaseCAMP serving as a global IP registry and SideCAMPs for sector-specific enforcement across music, books, and gaming.

As an add-on, Camp Network could monetize digital content and provide verifiable provenance as AI usage grows, with potential future airdrops and wider adoption.

Content creators register works on-chain via Origin Framework with embedded licensing terms and royalties; AI developers access these assets through mAltrix Framework, with usage tracked to trigger on-chain royalty payments.

The workflow allows IP to be registered as NFTs with licensing terms and royalty ranges, enabling automated payments to creators when AI models train on or generate from registered content.

The protocol emphasizes royalties at the core layer, aiming to enforce data-usage royalties for LLM training on registered datasets rather than relying on marketplaces.

Overall, the approach seeks to counter data-flow abuses by ensuring transparent provenance and monetization, potentially impacting AI training data usage and content discovery.

Royalties and licensing are embedded into the protocol via smart contracts to automatically compensate creators when AI models use registered content or data.

Camp Network remains interoperable with Ethereum through a bridge, supports 141 dApps, and uses EVM compatibility with a Decentralized Verifier Network and CAMP staking for governance and security.