Bittensor TAO plunges $67 after Covenant AI exit, sparking governance fears

Covenant AI’s exit and community concerns

Covenant AI had played a central role in Bittensor, focusing on decentralized AI network development. Notably, the group brought together over 70 contributors to build the large-scale language model Covenant-72B, leveraging distributed computing and consumer hardware for training. The collaborative approach positioned Covenant AI as a leading figure in decentralized machine learning.

In a recent public statement, Covenant AI outlined a series of grievances. The team described how revenue streams for network operators had been abruptly interrupted with no advance warning, creating operational uncertainty for ongoing projects.

Covenant AI detailed the situation, listing a sudden halt to revenue, a reduction in community input on decision-making, and unilateral infrastructure changes. These adjustments, they claimed, meant that “control is concentrated among a few actors, not decentralized.”

The announcement fueled rapid discussions across the Bittensor community, especially regarding the alleged shift of governance mechanisms away from the original ideals of decentralization. Other contributors raised similar questions, examining whether internal network changes and software updates were being implemented without collective approval.

Covenant AI’s comments highlighted broader governance worries within the ecosystem, with some stakeholders expressing concerns about the transparency of decision-making as the project continues to grow.

Market reaction and impact on Bittensor

The governance dispute quickly impacted the market. TAO’s value fell sharply, with a $67 drop in under a day, reflecting shifting sentiment among both traders and long-term holders. The speed of the decline underscored the sensitivity of decentralized communities to internal conflicts and the perceived threat to network principles.

Bittensor, launched in 2019, offers a decentralized AI network where participants contribute, train, and share machine learning models in a token-incentivized structure. The network is often noted for its ambitious attempt to decentralize AI research, involving contributions from developers, researchers, and engineers worldwide.

Key supporters from the tech world, including Nvidia CEO Jensen Huang and Anthropic co-founder Jared Kaplan, had previously acknowledged Bittensor’s novel approach to decentralized artificial intelligence. This external recognition added to the weight of recent concerns about the project’s governance.

The recent controversy drew renewed attention to how governance is maintained as decentralized AI projects scale. Covenant AI’s exit signaled that operational transparency and decision-making inclusivity remain active conversations within the Bittensor ecosystem.

As of the latest update, the main Bittensor team had not released an official response regarding Covenant AI’s claims. Community members and market watchers continue to monitor whether further statements or changes will follow as the situation unfolds.

The episode also added to industry-wide debates about how decentralized projects can balance innovation with inclusive governance and transparent communication among contributors.