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NewsOfficialXOct 7, 2026, 22:35 UTC

Affine's inference-verification rewrite takes inspiration from Reliquary.

About SN81 Reliquary

Reliquary | Bittensor SN81 τ@reliquary_ai

Affine's inference-verification rewrite takes inspiration from Reliquary. Batch generation is the start. RL on demand, training and evaluation come next All in the same app

Quoting @const_reborn

What the Reliquary team has invented for a minable objective is truly one of the most compelling structures i have seen for a scalable post training mechanism on Bittensor. In the same way that conjectures 66 searches math proofs, Reliquary has miners build compute fleets which search for rollouts on a target model which partition the reward landscape. You spin up a miner, download the network model and scale your inference engine + innovate on your search technique to uncover negative samples from the environments. Those samples become optimal inputs to the training process for the network model. Like how Bitcoin miners bleed energy for a hash. Reliquary miners bleed energy for a rollout. It’s a search problem at heart which is where Bittensor’s abstraction over the search for search algorithms really shines. Reliquary was created by two young engineers with no credentials and no allegiances to anything except a vision for decentralized intelligence. Bravo Rom and Grizz

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SN81 Reliquary at a glance

SN81, Reliquary (α token ᚠ), is one of the independent markets on the Bittensor network, each with its own α token and its own price. Its α currently trades at 0.005869 τ (≈ $1.72), against 17,577 τ of pool liquidity. On-chain, the best-delegated validator on it yields about 60.92% APR (simple) and 83.89% APY (compounded), emissions add 0.000007 τ to the pool each block, epochs run every 360 blocks. It was registered at block #5,203,057.

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More from SN81 Reliquary

Taosis indexes announcements, articles, posts and releases about Bittensor subnets from their own channels and keeps a record of each. The text above is the source’s; the figures are read from the chain by Taosis.