News·Const (Opentensor)·Jan 9, 2024, 18:50 UTC
BIT001: Dynamic TAO
TAO and Dynamic TAO Aleph This document is a TL;DR for the more in-depth technical paper which was posted on the Opentensor Twitter page on Jan 9th. Intro Opening up the governance of Bittensor to the widest possible group of individuals, whilst simultaneously aligning Bittensor towards producing the highest quality of machine intelligence, is no small feat. Indeed it is only possible at the intersection where good governmental choices, and self-interested choices, are one-and-the-same for TAO holders. The BIT1 proposal, colloquially termed Dynamic TAO, is one path through the eye of this needle. It undermines the centralization of control in Bittensor’s root network, whilst replacing it with aligned market participants. Background TAO subnets (3 months in) producing various digital commodities interconnected through TAO. Bittensor is currently composed of 32 self-contained incentive mechanisms (subnets), which produce various decentralized digital commodities i.e. data scraping, storage, model training, and ML inference. All of these subnets are accessible to TAO holders, and interconnected within the ecosystem that is Bittensor. As to date, Bittensor calculates the distribution of TAO such that each block is determined via the ‘Root Network’: a voting pool composed of Bittensor’s top 64 validators (measured by the sum of TAO that has been delegated to them). The more Root Network emissions a subnet receives, the more commodity it can extract, whilst the subnets which do not receive sufficient emission are pruned out. The distribution of TAO is essential to how Bittensor runs: for whom, for what, to riches or to ruins. The BIT1 proposal is designed to improve the previous mechanism. Replacing the centralized root network determination with one in which all TAO holders vote directly — increasing or decreasing the proportion of emission a subnet receives, based on the distributed estimation of how valuable its commodity is, or will be, to the ecosystem. Why? ““The di
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