Open protocol for decentralized data markets and exchange.
Computable Labs is a new kind of decentralized network that crowdsources data and makes it available for learning agents, whether human or autonomous.
Protocol token design economically incentivizes one group of participants to supply data to the network and another group to curate data for relevance and quality. Network data will be organized so that everything can be queried, transacted, and transmitted within a single coordination layer.
In particular, all data on the network will be algorithmically accessible, enabling a future in which computational agents can autonomously request and procure data required to meet their objectives. Without such universal access, data would remain disparate and hard to use even if openly available on the web.
The network becomes increasingly valuable as data accrues on it over time, which also magnifies the importance of the network’s ability to query across all that data in a unified way. If the network is successful in better organizing the world’s data, we can unleash public data resources that will be more discoverable, usable, and ultimately more valuable on-network than off-network.
Data Market Protocol
The first Computable smart contracts will implement a permissionless protocol to tokenize data assets for data market and exchange applications. Anyone will be able to easily create and operate a data market with its own custom non-fungible token. Follow the Computable GitHub repository and wiki for the latest developments and plans. The first of several formal technical publications will release soon.
AI Smart Contracts
New open source software will forge technological compatibility between blockchains and machine learning computations. The Data Market Protocol will then extend to handle model weights and other parameter data to enable creation and execution of AI smart contracts.
Trustless Privacy Network
A trustless privacy network will leverage Data Market Protocol and AI Smart Contract capabilities to enable privacy-preserving computations and secure data transactions. Neither buyers nor sellers will need to expose their raw data assets to monetize them, fully unlocking the commercial opportunity of data markets.
Data markets and exchange
Tokenize data assets. Monetize data as a marketplace seller or by joining a data exchange.
Data commons and cooperatives
Collaborative data projects like ImageNet unlocked unprecedented progress in AI for visual tasks. Imagine the inflection in other fields and disciplines if such open data cooperatives were structurally encouraged and incentivized.
Authorship and citations
Reference and link datasets used in your research with fair attribution to contributors.
Data on demand
Access and incentivize a workforce to crowdsource and curate data for your applications, following your specs and requirements.
Programmatic access to continuously updated datasets to power your applications.
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Public sale —
Develop and launch the Data Markets Protocol. Incentivize communities to form around crowdsourcing and curating useful and valuable data sets.
Create a Data Terminal protocol so that the data collected into Data Registries can be securely shipped to users and buyers. This enables active data markets in the near term, but these data markets will include data leakage since raw data is transferred to buyers. Early implementation will focus on encrypted end-to-end data transfer from local clients. Local clients as defined here can mean local computers but also personal storage services like Google Drive, Dropbox, AWS and more.
Build on the ability to securely ship data from Phase II to realize privacy properties through secure blockchain-coordinated distributed computing. Achieve privacy-preserving computation so that use cases are unlocked for highly sensitive data where data leakage is intolerable.