Taurus:Sky
Decentralized Artificial Intelligence Aggregation Platform
最后更新于
Decentralized Artificial Intelligence Aggregation Platform
最后更新于
As with other commodities, markets can help us produce machine intelligence efficiently. We propose a market in which intelligence is priced in a peer-to-peer manner by other intelligent systems on the Internet. Peers rank each other by training neural networks, which learn the values of their neighbors. Scores accumulate on a digital ledger, and top-ranked peers receive monetary rewards and additional weight in the network. However, this form of peer ranking is not resistant to collusion, which could undermine the accuracy of the mechanism. The solution is an incentive mechanism that maximizes the weights rewarded for honest choices, making the system resistant to collusion up to 50% of the network weight. The result is a collectively run intelligence market that continuously produces newly trained models and pays contributors who create information-theoretic value.
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