experimental learning incentives layer for cyber using cosmwasm progs
effort to incentivize soft3 learning
cybernet: subtensor is ported from substrate palets to cosmwasm programs
it is inspired by yuma algorithm of bittensor
advanced security due to decoupling of layers
bostrom tendermint consensus as consensus layer
cosmos-sdk with cosmwasm as sequential computation layer
cyber-sdk as parallel computation layer
cybernet spawns family of projects
cybertensor: bittensor cli is ported to cosmwasm endpoints
templates ported to work with cybernet and cybertensor
protocol is mostly remained untouched for maximum compatibility
cybverver and art created for easier adoption
whats is different in comparison with bittensor
deploy you whole new network and token: the network is just contract instance
manage your network using manual ux weights in tech preview app
maximize rewards with the help of cybergraph
extend subnets using cosmwasm programs
deploy your daodao instance for subnet management
participate in vibrant ibc ecosystem
trade earning on permissionless warp dex
enjoy security and speed of tendermint consensus
and more
protocol extension: subnetwork is about learning particle's subgraph
technical preview of webapp for exploring and setting weights: spacepussy.ai/cybernet
TODO daodao integration
TODO move docs from docs.spacepussy.ai to cyber