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NewsOfficialNov 6, 2026, 15:44 UTC

Bittensor’s AI Stack: Historical Backtests, Fast Decisions & Distributed Training

About SN81 Reliquary

Can you backtest an AI on a decision from 2020 if it already knows what happened next? On Novelty Search 095, Jacob Steeves and Mark Jeffrey talk with Jean about how ChronoLM trains models on information available at a specific point in time, how the team tests for data leakage, and what that could mean for investment research. Florian explains why decision models can answer without generating text token by token, how REX rewards miners for fast, reliable inference, and what it takes to turn that into a product customers pay for. Then Grizz joins from Reliquary to discuss Teutonic, training across different GPUs, and the challenge of verifying work from miners you don’t have to trust. CHAPTERS 00:00 Welcome to Novelty Search 095 02:48 Bittensor’s live chain upgrade 07:22 Reliquary, Trishul, and rewarding useful training work 17:59 Nova and OpenRoboto bring subnets into the real world 19:46 Jean introduces ChronoLM and its 16B model 22:23 How to backtest AI without look-ahead bias 30:17 What point-in-time models could do for investors 36:34 Training on historical data and testing for leaks 47:13 Meet Florian and hear how REX got started 51:39 Why decision models can answer without decoding 56:28 How miners compete to build better decision models 1:04:37 REX, paying customers, and enterprise deployment 1:10:07 How REX built its inference incentives 1:15:12 From a model training competition to a marketplace 1:24:27 Grizz joins to discuss Reliquary and Subnet 81 1:25:58 Teutonic and training across different GPUs 1:28:33 Fixing exploits and designing training incentives 1:33:22 Reliquary’s move into inference and a possible Affine collaboration #Bittensor #NoveltySearch #DecentralizedAI

Watch the video on Opentensor YouTube ↗

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 0.005319 τ (≈ $1.19), against 16,737 τ of pool liquidity. On-chain, the best-delegated validator on it yields about 59.98% APR (simple) and 82.17% APY (compounded), emissions add 0.000000 τ to the pool each block, epochs run every 360 blocks. It was registered at block #5,203,057.

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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.