Among the digital currencies focused on artificial intelligence (AI), Bittensor (TAO) has recently gained significant attention as the best-performing asset, soaring by an impressive 109% over the past 30 days and achieving a market capitalization of $2.9 billion.
To comprehend the driving forces behind this growth, it is essential to understand what underpins the platform and the catalysts that have captured investors’ attention, enabling it to reach an almost $3 billion market cap in record time.
Bittensor ‘Game-Changing’ Upgrade?
According to Sami Kassab, a researcher at Messari, Bittensor has transitioned from being a niche crypto-AI project to gaining widespread recognition within the open-source AI community.
Notably, a significant network upgrade proposal called Dynamic TAO has been pivotal in this surge. Bittensor operates as an ecosystem of specialized networks, known as subnets, each dedicated to a specific machine learning use case or resource provision.
These subnets offer diverse services, including conversational AI platforms similar to ChatGPT, prediction tools for financial markets, pre-trained and fine-tuned models, synthetic data, and data storage solutions.
The Root Network, specifically subnet 0, functions as Bittensor’s governing body, where Root validators vote on the allocation of emissions to the various subnets. However, two key issues have been identified with the current system:
- Concentration of Influence Over Emissions: The top five Root validators control over 60% of the token supply.
- Scalability Issues: The manual process of setting emissions for each subnet becomes increasingly impractical as the number of subnets grows.
The foundation has proposed a network upgrade known as Dynamic TAO to address these issues. This upgrade aims to replace the Root Network with an automated, market-driven mechanism for emission distribution, shifting away from a subjective, manual process dominated by a few validators.
Furthermore, according to the researcher, under Dynamic TAO, each subnet would have its unique token and native liquidity pool paired with TAO.
Emissions would be allocated based on the relative market price of these subnet tokens. Subnets that generate the most value would see their subnet tokens in high demand from validators, signaling the protocol to allocate more emissions to them.
Bullish Demand For TAO
To prevent potential dilution of TAO, subnet tokens are designed…
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