The State and Future of Bittensor :: Jacob Steeves opening talk :: Exploit
About SN85 Vidaio
The first speech at Exploit, Jacob Steeves lays out the state of Bittensor and where the network goes next. From incentive computing and decentralized model training to Affine One, external flow and Gamma tokens, the talk explores how Bittensor is evolving from a collection of incentive mechanisms into a full-stack economy for intelligence. Jacob presents Affine One, trained using Bittensor infrastructure, and explores how decentralized competition can coordinate compute, models and engineering talent at a global scale. The talk then looks ahead to Bittensor’s 2026–27 roadmap: external flow, interoperable usage credits, inter-subnet commerce, and a broader vision for open intelligence outside the control of any single organization. CHAPTERS 00:00 — Introduction 00:38 — Bittensor as a new form of computing 03:35 — Harnessing exploitation 06:08 — From Bitcoin to 128 incentive mechanisms 09:04 — Bittensor becomes economically productive 12:05 — Introducing Affine One 13:56 — Decentralized competition trains a frontier model 17:14 — 500 tokens/sec + the Bittensor AI stack 22:20 — Bittensor’s 2026–27 roadmap 23:01 — External flow + real-world demand 24:04 — Gamma tokens + the inter-subnet economy 28:54 — AI, labor + the concentration of power 33:40 — A “mind outside the state” Recorded at Exploit, the first Bittensor conference.
Watch the video on Opentensor YouTube ↗
SN85 Vidaio at a glance
SN85, Vidaio (α token ᚱ), 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 0.004304 τ (≈ $0.96), against 11,810 τ of pool liquidity. On-chain, the best-delegated validator on it yields about 40.49% APR (simple) and 49.91% APY (compounded), emissions add 0.000376 τ to the pool each block, epochs run every 360 blocks. It was registered at block #5,258,781.
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More from SN85 Vidaio
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.