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Openτensor Foundaτion

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Incentivizing intelligence

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Bittensor recently released Null Consensus, a major protocol update expanding subnet capacity from 256 to 2,500 participants. It introduces a new way to determine miner rewards, giving subnet owners an alternative to Yuma Consensus.

Bittensor recently released Null Consensus, a major protocol update expanding subnet capacity from 256 to 2,500 participants. It introduces a new way to determine miner rewards, giving subnet owners an alternative to Yuma Consensus.

120,830 views

Introducing Root Reborn: a new market for optimizing TAO yield across Bittensor. Validators compete to build the best-performing subnet baskets. Successful strategies can attract more stake, so more root yield goes toward the subnets that create the most value.

Introducing Root Reborn: a new market for optimizing TAO yield across Bittensor. Validators compete to build the best-performing subnet baskets. Successful strategies can attract more stake, so more root yield goes toward the subnets that create the most value.

123,249 views

Conviction is now fully live for Bittensor subnets. In startups, founders can show commitment through vesting. In Bittensor, subnet owners can now prove it with locked alpha. And for the first time, subnet ownership can be challenged by a higher conviction score.

Conviction is now fully live for Bittensor subnets. In startups, founders can show commitment through vesting. In Bittensor, subnet owners can now prove it with locked alpha. And for the first time, subnet ownership can be challenged by a higher conviction score.

91,898 views

Bittensor is built for an agentic world. The new Bittensor documentation is machine-readable. Agents can load the full corpus into a context window, discover chain operations, preview them, and execute them. Builders also get a clearer path into the network, with a five-minute Quickstart, SDK and CLI guides, and migration resources. Full documentation in the first comment.

Bittensor is built for an agentic world. The new Bittensor documentation is machine-readable. Agents can load the full corpus into a context window, discover chain operations, preview them, and execute them. Builders also get a clearer path into the network, with a five-minute Quickstart, SDK and CLI guides, and migration resources. Full documentation in the first comment.

42,072 views

Reminder: Keep building. Think it. Pitch it. Build it. τ Bittensor Subnet Ideathon (Round 1) closes Feb 25. - $18K cash prize pool - Up to 𝞃1000 discretionary funding from Unsupervised Capital - $5K basilica compute credits - Direct entry to bitstarter accelerator Registration live → build the next subnet on Bittensor. Own the future. #Bittensor $TAO #SubnetIdeathon HackQuest

Reminder: Keep building. Think it. Pitch it. Build it. τ Bittensor Subnet Ideathon (Round 1) closes Feb 25. - $18K cash prize pool - Up to 𝞃1000 discretionary funding from Unsupervised Capital - $5K basilica compute credits - Direct entry to bitstarter accelerator Registration live → build the next subnet on Bittensor. Own the future. #Bittensor $TAO #SubnetIdeathon HackQuest

74,407 views

Subnet registration and deregistration have returned to Bittensor. The subnet limit will remain at 128 meaning that when a new subnet registers, it will take the place of the lowest performing non-immune subnet. A 4-month immunity for new subnets will allow the time for subnets to get their projects up and running.

Subnet registration and deregistration have returned to Bittensor. The subnet limit will remain at 128 meaning that when a new subnet registers, it will take the place of the lowest performing non-immune subnet. A 4-month immunity for new subnets will allow the time for subnets to get their projects up and running.

71,706 views

Bittensor Mainnet // Major upgrades > Subnet Mechanisms (Previously sub-subnets) > Subnet Deregistration > Hyperparameter Rate Limits > UID Pruning What's changing // Why it matters. 1/8

Bittensor Mainnet // Major upgrades > Subnet Mechanisms (Previously sub-subnets) > Subnet Deregistration > Hyperparameter Rate Limits > UID Pruning What's changing // Why it matters. 1/8

72,982 views

Bittensor: The Thousand-Year Federation. Every decentralized network reaches the same threshold: When it stops being operated and starts operating itself. In this episode: • On-chain governance • Decentralized chain nodes • Community-ratified upgrades • Triumvirate proposal system • Validator and subnet voting power Watch →

Bittensor: The Thousand-Year Federation. Every decentralized network reaches the same threshold: When it stops being operated and starts operating itself. In this episode: • On-chain governance • Decentralized chain nodes • Community-ratified upgrades • Triumvirate proposal system • Validator and subnet voting power Watch →

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For anyone trying to understand Bittensor from first principles, this lecture is a useful place to start. Presented by Bittensor co-founder const. Learn Bittensor > Start with Bitcoin, distributed systems, incentives, > How Bitcoin leads to Bittensor Subnets coordinating AI infrastructure. Topics: // Start - Bitcoin as more than a digital currency // Risks of AI centralization + closed systems // "The incentive computer" // How Bittensor subnets work (mining, validating) // How distributed AI infrastructure could scale globally // Impact on students, builders & future founders Recorded at the National University of Singapore Computer Science Club. NUS Computing Chapters - Bitcoin, AI, and Bittensor - Bitcoin history and decentralization - AI changes how engineers work - The danger of centralized AI power - Why most crypto visions fail - Bitcoin as the world’s largest compute network - Bitcoin as a market for compute - The idea of an “incentive computer” - Bitcoin compared to Bittensor - Classroom example of decentralized scoring - A simple subnet example - SN62 :: Ridges AI | SN62 SWE agents - SN3 templar :: Distributed AI Training - SN52 lium.io :: GPU rentals on Bittensor 128 subnets, some examples Why this matters for the future of work Q&A Subnet examples mentioned @ SN64 - Serverless + TEE Compute :: Chutes SN8 - Prop firm Vanta Trading SN52 - AutoML :: Gradients SN62 - SWE agents :: Ridges AI | SN62 SN51 - Compute / GPU rental lium.io SN4 - TEE compute for enterprise :: Targon SN3 - 72B Distributed Training run :: templar SN41 - Prediction markets :: Almanac SN44 - Computer Vision Score SN68 - Drug discovery :: METANOVA LABS SN18 - Weather Forecasting Zeus | SN 18 SN50 - Bitcoin prediction data :: Synthdata SN61 - Quantum computing :: qBitTensor Labs SN14 - Bitcoin mining pool :: TaoHash SN34 - Perp Dex :: 0xMarkets SN17 - 3D model generation :: 404 SN33 - Data analytics :: ReadyAI SN19 - [Since relaunched] RPC infrastructure :
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For anyone trying to understand Bittensor from first principles, this lecture is a useful place to start. Presented by Bittensor co-founder const. Learn Bittensor > Start with Bitcoin, distributed systems, incentives, > How Bitcoin leads to Bittensor Subnets coordinating AI infrastructure. Topics: // Start - Bitcoin as more than a digital currency // Risks of AI centralization + closed systems // "The incentive computer" // How Bittensor subnets work (mining, validating) // How distributed AI infrastructure could scale globally // Impact on students, builders & future founders Recorded at the National University of Singapore Computer Science Club. NUS Computing Chapters - Bitcoin, AI, and Bittensor - Bitcoin history and decentralization - AI changes how engineers work - The danger of centralized AI power - Why most crypto visions fail - Bitcoin as the world’s largest compute network - Bitcoin as a market for compute - The idea of an “incentive computer” - Bitcoin compared to Bittensor - Classroom example of decentralized scoring - A simple subnet example - SN62 :: Ridges AI | SN62 SWE agents - SN3 templar :: Distributed AI Training - SN52 lium.io :: GPU rentals on Bittensor 128 subnets, some examples Why this matters for the future of work Q&A Subnet examples mentioned @ SN64 - Serverless + TEE Compute :: Chutes SN8 - Prop firm Vanta Trading SN52 - AutoML :: Gradients SN62 - SWE agents :: Ridges AI | SN62 SN51 - Compute / GPU rental lium.io SN4 - TEE compute for enterprise :: Targon SN3 - 72B Distributed Training run :: templar SN41 - Prediction markets :: Almanac SN44 - Computer Vision Score SN68 - Drug discovery :: METANOVA LABS SN18 - Weather Forecasting Zeus | SN 18 SN50 - Bitcoin prediction data :: Synthdata SN61 - Quantum computing :: qBitTensor Labs SN14 - Bitcoin mining pool :: TaoHash SN34 - Perp Dex :: 0xMarkets SN17 - 3D model generation :: 404 SN33 - Data analytics :: ReadyAI SN19 - [Since relaunched] RPC infrastructure :

Openτensor Foundaτion

1,173,557 views • 7 months ago

SOMA cut a prompt’s token count by 76% live, reducing the text you pay AI models to process. On the latest Novelty Search, Subnet 114 presents its compression tool for coding agents, already in early access for Copilot and Codex. The team reports ~15% lower inference costs on average across coding tasks. SayGM has integrated SOMA’s open-source compressor, and Dendrite uses it in daily development. Hosted by const Full episode in the first comment
0:37
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SOMA cut a prompt’s token count by 76% live, reducing the text you pay AI models to process. On the latest Novelty Search, Subnet 114 presents its compression tool for coding agents, already in early access for Copilot and Codex. The team reports ~15% lower inference costs on average across coding tasks. SayGM has integrated SOMA’s open-source compressor, and Dendrite uses it in daily development. Hosted by const Full episode in the first comment

Openτensor Foundaτion

58,896 views • 26 days ago

"I hot-swapped from Claw to Hermes. No problem whatsoever.” On the latest Novelty Search, Ditto explains how Ditto gives AI agents a shared memory layer, letting users move between agents without losing the knowledge and context they have built up. SN118 turns that product problem into a live competition: miners improve how agents store and retrieve memory, with every submission tested against a newly generated synthetic user. Hosted by const + Mark Jeffrey Full episode in the first comment
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"I hot-swapped from Claw to Hermes. No problem whatsoever.” On the latest Novelty Search, Ditto explains how Ditto gives AI agents a shared memory layer, letting users move between agents without losing the knowledge and context they have built up. SN118 turns that product problem into a live competition: miners improve how agents store and retrieve memory, with every submission tested against a newly generated synthetic user. Hosted by const + Mark Jeffrey Full episode in the first comment

Openτensor Foundaτion

164,107 views • 2 months ago

RedTeam is working toward integrations with three banking companies in the top 10% of the Fortune 500. On the latest Novelty Search, RedTeam explains how #SN61 miners strengthen Innerworks’ cybersecurity products. They also demo their Immune System, where AI agents created three new attacks from a miner’s submission and wrote the code to stop all three. Hosted by const Full episode in the first comment
0:32
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RedTeam is working toward integrations with three banking companies in the top 10% of the Fortune 500. On the latest Novelty Search, RedTeam explains how #SN61 miners strengthen Innerworks’ cybersecurity products. They also demo their Immune System, where AI agents created three new attacks from a miner’s submission and wrote the code to stop all three. Hosted by const Full episode in the first comment

Openτensor Foundaτion

52,640 views • 1 month ago

.Pareton miners achieved up to 54% faster AI inference on Engy’s setup, using the same GPUs. On the latest Novelty Search, Pareton explains how Bittensor’s Subnet 10 improves the software that runs AI models, with each winning optimization becoming the next baseline to beat. The team also got a miner-developed optimization merged into vLLM, one of the leading open-source engines for AI inference. Hosted by const Full episode in the first comment
0:34
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.Pareton miners achieved up to 54% faster AI inference on Engy’s setup, using the same GPUs. On the latest Novelty Search, Pareton explains how Bittensor’s Subnet 10 improves the software that runs AI models, with each winning optimization becoming the next baseline to beat. The team also got a miner-developed optimization merged into vLLM, one of the leading open-source engines for AI inference. Hosted by const Full episode in the first comment

Openτensor Foundaτion

16,104 views • 11 days ago

AI History is being made Distributed Training on Bittensor Made possible with Macrocosmos + Manifold + const
2:33
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AI History is being made Distributed Training on Bittensor Made possible with Macrocosmos + Manifold + const

Openτensor Foundaτion

596,352 views • 2 years ago

OpenRoboto miners pushed Physical Intelligence’s π0.5 model from ~55% to nearly 90% success on simulated robot tasks in under a month. On the latest Novelty Search, OpenRoboto explains how Bittensor’s Subnet 80 develops open robotics models through competition and tests them on real hardware. With Shift, OpenRoboto is building a decentralized network for robotics training data, rewarding contributors who capture real workplace skills using OR-S1 devices introduced in partnership with General Intelligence Labs. Hosted by const Full episode in the first comment
1:02
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OpenRoboto miners pushed Physical Intelligence’s π0.5 model from ~55% to nearly 90% success on simulated robot tasks in under a month. On the latest Novelty Search, OpenRoboto explains how Bittensor’s Subnet 80 develops open robotics models through competition and tests them on real hardware. With Shift, OpenRoboto is building a decentralized network for robotics training data, rewarding contributors who capture real workplace skills using OR-S1 devices introduced in partnership with General Intelligence Labs. Hosted by const Full episode in the first comment

Openτensor Foundaτion

21,835 views • 19 days ago

Bittensor is building toward a full-stack intelligence network that no single company or country can control. In his Exploit Summit keynote, const lays out the next steps towards that end state.
36:20
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Bittensor is building toward a full-stack intelligence network that no single company or country can control. In his Exploit Summit keynote, const lays out the next steps towards that end state.

Openτensor Foundaτion

22,354 views • 22 days ago

The largest decentralised LLM pre-training run in history. SN3 templar trained Covenant-72B across 70+ contributors on open internet infrastructure. Now it’s being discussed by Chamath Palihapitiya with NVIDIA CEO Jensen Huang. Distributed, open-weight model training on Bittensor is getting started.
4:13
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The largest decentralised LLM pre-training run in history. SN3 templar trained Covenant-72B across 70+ contributors on open internet infrastructure. Now it’s being discussed by Chamath Palihapitiya with NVIDIA CEO Jensen Huang. Distributed, open-weight model training on Bittensor is getting started.

Openτensor Foundaτion

121,481 views • 7 months ago

dTAO Whitepaper First Look Read it here: Full Conversation :: Novelty Search E031
4:45
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dTAO Whitepaper First Look Read it here: Full Conversation :: Novelty Search E031

Openτensor Foundaτion

188,355 views • 1 year ago

“You can literally build your Discord on top of Beam.” On the latest Novelty Search, Beam - Subnet 105 demonstrates how Bittensor’s Subnet 105 can power live video apps without developers running their own streaming servers. The team also previews Beam Studio, its tool for automating data transfers, and explains how parallel transfers can move 1 TB across Cloudflare R2 regions in under two minutes. Hosted by const Full episode in the first comment
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“You can literally build your Discord on top of Beam.” On the latest Novelty Search, Beam - Subnet 105 demonstrates how Bittensor’s Subnet 105 can power live video apps without developers running their own streaming servers. The team also previews Beam Studio, its tool for automating data transfers, and explains how parallel transfers can move 1 TB across Cloudflare R2 regions in under two minutes. Hosted by const Full episode in the first comment

Openτensor Foundaτion

15,838 views • 1 month ago

Hippius offers storage at a lower price per terabyte than Google Drive, iCloud, and Dropbox. On the latest Novelty Search, Hippius breaks down how SN75 turns Bittensor miners into S3-compatible cloud storage, with no egress fees for moving large models and datasets. Its Arion storage layer shards data across miners and self-heals, allowing the network to keep operating even if up to two-thirds of its machines go offline. Hosted by const Full episode in the first comment.
0:24
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Hippius offers storage at a lower price per terabyte than Google Drive, iCloud, and Dropbox. On the latest Novelty Search, Hippius breaks down how SN75 turns Bittensor miners into S3-compatible cloud storage, with no egress fees for moving large models and datasets. Its Arion storage layer shards data across miners and self-heals, allowing the network to keep operating even if up to two-thirds of its machines go offline. Hosted by const Full episode in the first comment.

Openτensor Foundaτion

24,091 views • 2 months ago

This first-person shooter was built from a single prompt, using 404-generated 3D assets. On the latest Novelty Search, 404 explains how SN17 is moving from Titan, its open image-to-3D model built with miners, toward 3D assets generated as code that AI agents can edit and use directly in games. That work is part of a broader direction for 404: building world models where AI agents can learn and act. Hosted by const Full episode in the first comment
1:08
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This first-person shooter was built from a single prompt, using 404-generated 3D assets. On the latest Novelty Search, 404 explains how SN17 is moving from Titan, its open image-to-3D model built with miners, toward 3D assets generated as code that AI agents can edit and use directly in games. That work is part of a broader direction for 404: building world models where AI agents can learn and act. Hosted by const Full episode in the first comment

Openτensor Foundaτion

19,046 views • 1 month ago

The next phase of Bittensor has begun. Governance is coming on-chain. Chain nodes are decentralizing. Power is leaving the Opentensor foundation. This is the transition from network → organism. Full video feat const →
3:31
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The next phase of Bittensor has begun. Governance is coming on-chain. Chain nodes are decentralizing. Power is leaving the Opentensor foundation. This is the transition from network → organism. Full video feat const →

Openτensor Foundaτion

64,034 views • 8 months ago

Introducing a new cryptographic governance primitive >> Conviction - The Formula: Conviction = Stake x Time. - Linear Unlocking: Lock Alpha tokens for a set duration (e.g., 365 days) to prove long-term commitment. - Mutable Ownership: If an owner acts maliciously, the community can collectively lock their tokens to a new key and vote them out. - Delegated Conviction: Miners and investors can delegate their conviction to cryptographically back teams they trust. First, testing this primitive on subnets 3, 39, and 81 to help the community regain control before a wider rollout. * Initial design still being tuned and tested, more information E071 // Hosted by const 00:00 - Addressing the recent subnet owner exploit & subnet governance 07:18 - Introducing the "Conviction" mechanism 11:38 - Rollout Plan: starting with subnets 3, 39 & 81 18:42 - AMA Begins 21:03 - How subnet teams can still raise capital (OTC) 24:47 - Q&A: Hostile takeovers & malicious whales 41:22 - Why centralized competitors can't buy and kill decentralized subnets 54:14 - mogmachine (ττ) joins: Scenario testing subnet impacts Drop your thoughts or questions ↓ #Bittensor #TAO #CryptoGovernance
1:05:45
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Introducing a new cryptographic governance primitive >> Conviction - The Formula: Conviction = Stake x Time. - Linear Unlocking: Lock Alpha tokens for a set duration (e.g., 365 days) to prove long-term commitment. - Mutable Ownership: If an owner acts maliciously, the community can collectively lock their tokens to a new key and vote them out. - Delegated Conviction: Miners and investors can delegate their conviction to cryptographically back teams they trust. First, testing this primitive on subnets 3, 39, and 81 to help the community regain control before a wider rollout. * Initial design still being tuned and tested, more information E071 // Hosted by const 00:00 - Addressing the recent subnet owner exploit & subnet governance 07:18 - Introducing the "Conviction" mechanism 11:38 - Rollout Plan: starting with subnets 3, 39 & 81 18:42 - AMA Begins 21:03 - How subnet teams can still raise capital (OTC) 24:47 - Q&A: Hostile takeovers & malicious whales 41:22 - Why centralized competitors can't buy and kill decentralized subnets 54:14 - mogmachine (ττ) joins: Scenario testing subnet impacts Drop your thoughts or questions ↓ #Bittensor #TAO #CryptoGovernance

Openτensor Foundaτion

47,209 views • 6 months ago

🇨🇳 const at Tsinghua university, Beijing (Full presentation) // HackQuest
33:14
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🇨🇳 const at Tsinghua university, Beijing (Full presentation) // HackQuest

Openτensor Foundaτion

62,554 views • 8 months ago

After 15 years building biometric systems, Yanez.ai’s founder now has Bittensor miners trying to break them. On the latest Novelty Search, SN54 team explained how miners attack Yanez’s liveness and deepfake-detection systems with synthetic faces and screen replays, exposing weaknesses the team can fix and test again. The bigger goal is to prove that a user is real and unique without their biometric data ever leaving the device. Yanez says two clients are already fully integrated, with use cases ranging from Sybil-resistant Web3 participation to verifiable human authorization for payments. Hosted by const Full episode in the first comment
0:39
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After 15 years building biometric systems, Yanez.ai’s founder now has Bittensor miners trying to break them. On the latest Novelty Search, SN54 team explained how miners attack Yanez’s liveness and deepfake-detection systems with synthetic faces and screen replays, exposing weaknesses the team can fix and test again. The bigger goal is to prove that a user is real and unique without their biometric data ever leaving the device. Yanez says two clients are already fully integrated, with use cases ranging from Sybil-resistant Web3 participation to verifiable human authorization for payments. Hosted by const Full episode in the first comment

Openτensor Foundaτion

26,426 views • 3 months ago

Other networks have "rug pulls" every day. They ignore this problem. TradFi startups solved this with vesting cliffs. Introducing Bittensor "Conviction" - locked stake so token holders can cryptographically verify an owner's long-term commitment. Trust proven mathematically.
2:38
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Other networks have "rug pulls" every day. They ignore this problem. TradFi startups solved this with vesting cliffs. Introducing Bittensor "Conviction" - locked stake so token holders can cryptographically verify an owner's long-term commitment. Trust proven mathematically.

Openτensor Foundaτion

40,645 views • 6 months ago

“We’re already in a state of permissionlessness far beyond any example of a similar incentive network.” On the latest Novelty Search, Bittensor co-founder const looks ahead at the network’s roadmap. With Root Reborn now live, the next focus is optimizing Bittensor’s liquidity pools, with derivatives, on-chain liquidity and order books among the upgrades ahead. These upcoming market changes are part of Bittensor’s path toward full permissionlessness. Full episode in the first comment
0:30
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“We’re already in a state of permissionlessness far beyond any example of a similar incentive network.” On the latest Novelty Search, Bittensor co-founder const looks ahead at the network’s roadmap. With Root Reborn now live, the next focus is optimizing Bittensor’s liquidity pools, with derivatives, on-chain liquidity and order books among the upgrades ahead. These upcoming market changes are part of Bittensor’s path toward full permissionlessness. Full episode in the first comment

Openτensor Foundaτion

18,699 views • 2 months ago