Bittensor is a p2p-market which rewards the production of machine intelligence with a digital token called Tao. Peers in the system train models by mining knowledge from unsupervised datasets to share with others. Consumers access the network and distill what they learn into production models. The network is collectively-run, open-source, open-access, decentralized, and incentivized to produce state-of-the-art intelligence. For more info, read our paper.
Running a miner
Paste the below command in a MacOS Terminal or Ubuntu shell prompt and follow the instructions. The script will install necessary dependencies and then install Bittensor.
$ /bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/opentensor/bittensor/master/scripts/install.sh)"
If you wish to run bittensor through a docker container, create a new wallet, and run docker-compose:
$ bin/bittensor-cli new_coldkey # Generate default wallet
$ bin/bittensor-cli new_hotkey # Generate default hotkey
$ docker-compose up
License
The MIT License (MIT) Copyright © 2021 Yuma Rao
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Acknowledgments
learning-at-home/hivemind