Bringing Transparency to AI with Data Tokens (DAT): a look at ERC-8028

Hey everyone, I wanted to kick off a convo about where AI meets blockchain. Bitcoin proved that finance could be transparent and decentralized. Now, AI is kinda in the same boat: a lot of the big models out there (like ChatGPT, Midjourney, DeepSeek, etc.) are built on datasets and processes we can't really see through. We often don't know where the "source of truth" is or how it influences the results. That lack of clarity can lead to biased outcomes and possible manipulation. There's a concept floating around in the Ethereum community about putting data/model provenance and usage tracking on the blockchain, making revenue sharing clear and verifiable. They’re talking about a Data Anchoring Token (DAT) a semi-fungible token that keeps track not just of ownership, but also of usage (like dataset reads, model inferences, agent actions). The idea is to align AI assets with the core values of blockchain: verifiability, proper attribution, and easy-to-understand payout structures. Here are some questions to ponder: - Does the AI space actually need on-chain transparency for how data/models are used? - Is it more practical to "pay for the actual resource" (like inference weight, requests) instead of just paying for ownership? - What potential risks or trade-offs do you see for altcoin markets and Layer 2 infrastructure if this model picks up steam? If you wanna dig deeper, there’s a formal discussion going on over at the EIP forum (Ethereum Magicians): 👉 ERC-8028: Data Anchoring Token (DAT) draft and comments. This isn’t about announcing or selling a token; it's more about discussing the framework and how it can be applied. Looking forward to your thoughts and constructive feedback!