Bittensor ecosystem company approved for listing, exploring the innovations and challenges of Decentralization AI networks

Recently, a company focused on Decentralization AI networks received final approval to officially list on the Toronto Venture Exchange in Canada on July 23, 2025. This news has sparked market interest in Decentralization AI infrastructure. This article will briefly introduce the underlying network on which the company is based and its core mechanisms, and explore the logic behind its listing.

1. Introduction to Decentralization AI Service Network

The network is a complete Layer 1 blockchain system dedicated to building a Decentralization AI service ecosystem. It is different from specific AI applications; rather, it is a more fundamental platform, similar to an "operating system" in the field of AI. The goal of this network is to provide a global infrastructure for all AI tasks and developers, enabling anyone to upload models, acquire tasks, receive rewards, and freely combine AI services.

2. Roles of Participants in the Network

In this Decentralization AI collaboration network, there are mainly the following types of participants:

1. Miner Node: Provides AI model processing tasks and receives rewards.
2. Validator Node: Evaluate model service quality and determine reward distribution.
3. Subnet Creator: Design specific AI service scenario rules and build an independent economic system.
4. Staker: Supports node operation by staking tokens and shares profits.
5. End Users: Access AI services in the network and pay fees.
6. Native Token: Used for incentives, governance, and other network operation support.

3. Innovative Technological Mechanisms

1. Decentralization expert mixing mechanism

The network adopts a decentralized expert mixture (MOE) mechanism, connecting existing AI models from around the world to the network and dynamically calling the most suitable model combinations on demand. This mechanism transforms AI services from "centralized cultivation" to "global scheduling," achieving a more flexible and adaptable way of providing intelligent services.

2. Smart Proof of Work Consensus Mechanism

The network adopts a hybrid consensus mechanism that combines the ideas of PoW and PoS, with the core concept being "smart proof of work". This mechanism consists of four dimensions: stake, weight, trust, and clipping, aiming to provide decentralized quality assessment and incentive distribution for AI model performance.

3. Digital Hive Mind

The network has proposed the concept of "Digital Hive Mind," which constructs a Decentralization intelligent system through the collaboration of thousands of AI models worldwide. This mechanism enables dynamic evolution and intelligent aggregation among models, forming a self-optimizing intelligent ecosystem.

4. The Relationship Between Listed Companies and Networks

The listed company is the world's first enterprise focused on the commercialization of this Decentralization AI network. Its core business includes operating verification nodes in the network, providing model access services for enterprise clients, and assisting third parties in deploying miner nodes. In short, the company plays the role of a "gas station" in the network, converting on-chain computing power value into off-chain business revenue models.

V. Significance of Listing and Market Reaction

The core intention of the company's IPO is to connect traditional capital markets through public offerings, providing investors with an indirect channel to participate in the Decentralization AI network. At the same time, the company is expected to become an important interface for traditional enterprises to connect with network model services, playing a bridging role in the future commercialization of AI services.

On the first day of listing, the company's stock price performed relatively steadily, with no significant fluctuations. This trend is viewed by some as a "healthy opening," but there are also voices that believe it reflects the market's wait-and-see attitude towards the new Web3 AI infrastructure.

6. Conclusion

The decentralized AI network and its native token demonstrate a relatively complete technical framework and innovative mechanism, possessing long-term development potential. As key participants in the commercialization of the network, listed companies show strong execution capabilities and resource integration abilities. However, their listing actions still struggle to completely break free from the common strategic characteristics of current crypto projects. In the future, the company's long-term value will depend on the continuous expansion of the underlying network and its actual application performance in the on-chain economic system.