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A common analogy is that data is like oil. However, oil extraction, transportation, and trading are all strictly regulated systems, but what about data today? It’s more like spilled oil on the ground—anyone can scoop some up. Chaos, waste, and danger run parallel.
Some projects aim to solve this pain point. Their approach is to equip data with "pipes, valves, and meters"—providing programmable access control features. In other words, giving data a "brain" to automatically decide who can view, how they view, and for how long.
It may sound a bit abstract, so here’s a practical example. Suppose you are an independent musician storing a demo of a new song on the blockchain. You can configure permissions like this: give the producer "unlimited play and download"; offer a trial period of "1000 streams" on a certain music platform; allow fans to "listen to the first 30 seconds." All these permissions are managed automatically by code. The data itself handles access management.
This is especially attractive to AI companies. AI models require high-quality data feeding, but data involves copyright and privacy issues. For example, a hospital might want to use anonymized medical records to advance AI medical research, while ensuring compliance. Through this system, they can encrypt and store data, and set programming rules like "only for certain model training, output results must be secondary de-identified." The data is fully utilized without ever truly leaving the safe storage.
It is understood that this project has already raised $140 million in funding, mainly for ecosystem development and developer tools enhancement, aiming to enable more projects to adopt this data management system.