The Abstract Concept of Excavation
Bittensor, a unique blockchain platform, is making waves in the world of technology by transforming mining into a primary purpose and creating a marketplace for intelligent machine intelligence.
At its core, Bittensor combines election-based consensus mechanisms with abstracted mining, creating a system resistant to collusion up to 50% of the network's total weight. This level of resistance provides the same security parameters as Bitcoin and other blockchains, ensuring the integrity of the network.
The Bittensor network is divided into three main roles: miners, validators, and stakers of the TAO token. Miners provide 'intelligence' in the form of solutions to complex tasks, while validators check their results and vote on them. Peers vote on their influence in the network, mutually rank themselves and their neighbours, and log these scores on a blockchain.
One of the most intriguing aspects of Bittensor is the Macrocosmos, a mesh of Bittensor subnets established in 2024. Each subnet defines the consensus tasks for miners and their validation by validators. The Macrocosmos subnet SN25, for instance, is designed for scientific simulations, particularly protein folding, a foundational problem in chemical biology.
Another exciting development is the decentralized neural network called Egret-1, designed for drug research. Launched by Rowan Labs, Egret-1 uses the Bittensor (TAO) blockchain for its decentralization. Rowan plans to leverage the decentralized computing power of the Bittensor network's Macrocosmos subnet to generate data required for Egret-1's operations.
To be successful, Egret-1 requires more high-quality data generated through density functional theory (DFT). This need is addressed within the Bittensor ecosystem, where economic rewards are aligned with contributions. Miners who perform best in providing high-quality data receive tokens from Bittensor-TAO as a reward.
Moreover, Bittensor's core innovation lies in the separation of the blockchain's core function from the operation of the validation system. This separation allows for complex and fuzzy mechanisms, such as machine intelligence, protein folding, data storage, model training, etc., to be used as consensus work.
A research startup has already shown interest in using Bittensor to accelerate the discovery of new drugs. The emergence of a market in which intelligence is priced peer-to-peer on the internet by other intelligent systems promises a future where the power of collective intelligence can be harnessed for a variety of applications, from drug discovery to scientific simulations.
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