Bittensor Core Contributor Unveiled Gamma Tokens
The new credit system allows AI subnets to exchange payment for compute services within the Bittensor network.
Updated on Oct. 3, 2026 in Artificial Intelligence
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Bittensor contributor Const Steeves unveiled the Gamma token standard at the Exploit Summit. This new system enables subnets to burn Alpha tokens to mint Gamma credits for purchasing compute, inference, and storage services.
Why it matters
The introduction of Gamma tokens provides a necessary internal settlement layer, allowing subnets to procure compute resources without needing to liquidate their native token treasuries.
The Gamma token standard uses a burn-and-mint mechanism where Alpha tokens are converted into Gamma credits. These credits function as a payment medium for seven initial issuing subnets: Chutes, Engy, GM, Lium, Targon, Hippius, and Affine.
The players
Const Steeves
Const Steeves is a core contributor to the Bittensor project who recently unveiled the Gamma token standard.
Bittensor
Bittensor is a decentralized machine learning network that supports a growing ecosystem of AI subnets.
Covenant AI
Covenant AI is a former participant that exited the Bittensor network in April 2026.
The details
Steeves detailed the new infrastructure at the Exploit Summit, addressing the need for internal resource settlement. Infrastructure subnets are now set to accept Gamma credits for compute tasks, facilitating transactions within the broader Bittensor ecosystem.
Timeline
The Bittensor network grew to 32 active subnets in early 2025.
Subnets generated $43 million in AI compute revenue during Q1 2026.
The network expanded to 129 active subnets by March 2026.
Covenant AI exited the Bittensor network in April 2026.
Const Steeves unveiled the new tokens on September 28, 2026.
The Tech Race
This development represents a critical evolution in decentralized infrastructure, replacing direct treasury liquidations with a dedicated settlement credit. It positions the Bittensor network to better compete for compute resources against centralized AI providers.
Users and developers within the network gain a more stable method for procuring inference and storage services without the volatility associated with direct token trading. This shift improves resource allocation efficiency for those managing AI subnets.
The takeaway
The move toward a credit-based settlement layer indicates a maturing decentralized AI market that is prioritizing internal utility over external liquidity. Stakeholders should monitor how the transition to Gamma impacts the long-term price stability of native tokens.
What happens next
The official launch of the Gamma token standard is scheduled for early 2027.
Further reading
Learn more about the latest developments in Artificial Intelligence.
Source note: This article includes information reported by Startup Fortune.
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