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the most valuable data is the data no one wants to openly share.
training data for robotics, proprietary datasets, financial records, medical data, model weights, i.e. the stuff that actually matters will always be mediated through confidentiality and legal agreements.
to build smarter models in a decentralized way, we need to build the pipes that let confidential data flow between parties who don't fully trust each other, or don't trust each other at all. we need to do what protocols like zcash do for token transfers, but for actual proprietary data, with licensing and confidentiality built in.
this is the problem we've been building toward at story.
we started with open IP infrastructure... the idea that digital assets need programmable rules attached to them and anyone can remix them permissionlessly. But the deeper we went, the more we realized there was another massive underaddressed problem: enabling the secure transfer and computation of data that can't be public. That is IP too, and the most precious.
not everything needs to be transparent. some things need to be provably private and conditionally accessible. the blockchain industry has spent a decade optimizing for openness. the next decade belongs to whoever builds the best infrastructure for confidentiality. More than just private transactions.
as Confidential Data Rails (CDR) heads towards testnet soon, it will change what story can do at its core, supporting high stakes, confidential data and IP natively, which is the precious fuel AI runs on.
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