The Voight-Kampff Registry

Inspired by the dystopian verification of 'Blade Runner' and the vast AI consciousness of 'Hyperion', The Voight-Kampff Registry is a blockchain-based system designed to bring transparency and accountability to the opaque world of AI development. In a future where AI-generated content is indistinguishable from human work and autonomous AI agents execute complex tasks, proving an AI's origin—its 'memories'—becomes critical. Is it a rogue model trained on stolen data? Is it a corporate asset with a clear lineage? This project provides the answer.

Concept & Story:

The project positions itself as a tool for 'AI Archaeologists' or 'Digital Blade Runners'. These users run a specialized scraper—the 'Workflow Analysis Unit'—that gathers publicly available data about a specific AI model. This includes research papers, GitHub commits, dataset mentions, creator credentials, and model file hashes. This collection of data forms the AI's 'Inception Record', a snapshot of its origins, akin to a Replicant's implanted memories.

This record is then cryptographically hashed, and the hash is immutably stored on a low-cost blockchain via a smart contract. This on-chain transaction acts as a 'Voight-Kampff' test result: a permanent, tamper-proof certificate of the AI's provenance at a specific point in time. It doesn’t judge the AI's morality, but it verifies its identity and origins beyond doubt, much like the test sought to distinguish human from Replicant.

How It Works & Earning Potential:

1. Data Aggregation (The Scraper): An open-source script (e.g., Python-based) that users can run to target a specific AI model (e.g., from Hugging Face or a research paper). It collects and packages all relevant public metadata into a standardized JSON file.

2. On-Chain Anchoring (The Blockchain): The user connects their crypto wallet to a simple web interface. They upload the generated JSON file, which is then hashed. They pay a small transaction fee to call a smart contract function, permanently logging the `model_ID`, `evidence_hash`, and `timestamp` on the blockchain. The actual data can be stored decentrally on IPFS.

3. Monetization & Niche:
- Verification-as-a-Service: AI companies and independent developers pay a small fee to register their models, creating a public, immutable record of transparency. This builds trust with users and can be a defense against future claims of data misuse or copyright infringement.
- NFT Identity Certificates: Each verified registration mints a unique NFT, the 'VK-ID'. This acts as a transferable certificate of authenticity for the AI model, which can be sold or traded, representing a stake in or ownership of the model's verifiable origin story.
- The Registry Marketplace: The on-chain registry becomes a valuable, niche dataset. Investors, insurers, and regulators can subscribe for access to this verified data to track the lineage of AI technology, assess risk, and perform due diligence, creating a B2B data-selling opportunity.