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Bittensor Co-founders Unveil a Decentralized Roadmap: Achieve Full Decentralization of the Protocol Within 18 Months
Bittensor co-founder Const announced a decentralization roadmap, pledging to complete protocol solidification within the next 18 months so the network can operate independently through programmatic execution.
(Background recap: A detailed breakdown of Bittensor’s new economy model “Dynamic TAO”)
(Additional context: One month after dTAO went live, cracks have already appeared: subnets full of memes, broken token economics)
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Decentralized AI network Bittensor’s co-founder Const Const published a long post on June 22, providing a systematic explanation of Bittensor’s current governance status and its decentralization roadmap. He said that over the next 18 months, as the incentive mechanisms, value discovery, and ownership systems complete coordinated operation, Bittensor will gradually finalize the protocol, enabling the network to run independently in a programmatic, tamper-proof manner.
Current advantages of decentralization
In a long post on the X platform, Const noted that Bittensor has not yet reached full decentralization comparable to Bitcoin, but this is a strategic choice. The AI industry is still in a phase of rapid evolution, and entering slow on-chain governance too early would slow down the pace of innovation. The core team retains decision-making authority for upgrades, allowing it to continuously optimize the network’s mechanisms and economic model.
Const emphasized that Bittensor has achieved decentralization across three key areas:
Roadmap for the next 18 months
According to Const’s plan, Bittensor will advance in the following 5 directions:
The endgame of the “Millennium Intelligence Federation”
Const positions the ultimate goal as the “Millennium Intelligence Federation”—a decentralized AI network that operates by program rules without any human intervention. This means Bittensor’s core economic model (TAO emissions, subnet competition, validator incentives) will be written into an irreversible on-chain mechanism, and the core team will give up control.
It is worth noting that Bittensor’s ecosystem has gone through economic model upgrades over the past few months. After the Dynamic TAO mechanism went live in early 2026, resource allocation among subnets became more dynamic, but at the same time it also exposed issues such as certain subnets being filled with meme projects and imbalances in token economics. The roadmap Const published this time can be seen as a follow-up completion of the economic model upgrade.
Are there advantages to decentralized AI?
Bittensor’s roadmap reflects a common trend in the AI industry: moving from “centralized development → decentralized experimentation → standard convergence.” Taiwan already has a solid foundation for AI applications at the application layer (such as semiconductor manufacturing and edge computing). If Bittensor’s “permissionless subnet” mechanism matures, developers could deploy AI inference services to the global network at low cost, similar to the logic by which TSMC supports the global chip supply chain with its contract manufacturing model.