Openτensor Foundaτion
@opentensor • 171,055 subscribers
Incentivizing intelligence
Shorts
Videos
![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 :](https://image.24vids.com/tw-2035058620971241663/amplify_video_thumb/2035053482328178689/img/hTEVgvaL8NFeZp1b.jpg)
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 Foundaτion1,173,376 次观看 • 5 个月前
"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 Foundaτion164,107 次观看 • 1 个月前
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 Foundaτion15,473 次观看 • 8 天前
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 Foundaτion22,008 次观看 • 15 天前
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 Foundaτion121,256 次观看 • 5 个月前
“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 Foundaτion18,117 次观看 • 28 天前
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 Foundaτion25,528 次观看 • 1 个月前
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 Foundaτion47,209 次观看 • 4 个月前
“All that takes is just the right incentive.” Reliably identifying the mutations that matter for disease risk, drug response, and personalized medicine remains one of the hard problems in genomics. On the latest Novelty Search, Minos explained how SN107 uses Bittensor to improve variant calling, the step that turns raw genome data into a reliable list of mutations. Today, most labs run existing tools with default settings. Minos miners are already finding better configurations that improve mutation detection accuracy, while independent validators rerun and check the work every 72 minutes instead of waiting months or years for traditional scientific validation. Hosted by const Full episode in the first comment
Openτensor Foundaτion23,018 次观看 • 2 个月前
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 Foundaτion40,517 次观看 • 4 个月前
“The bank of Bittensor” That’s how Zipcode framed the long-term vision for SN46 on the latest Novelty Search. Zipcode started with real estate appraisals. The bigger vision is on-chain credit, real-world assets, and a new financial layer on Bittensor. Hosted by const Full episode in the first comment
Openτensor Foundaτion26,968 次观看 • 2 个月前
“We’ve had over 16,000 confidential workloads deployed this year.” On the latest Novelty Search, Targon shared that average revenue per user grew from $83 to $5,000, with SN4 supporting both Web2 training runs and Bittensor subnets. They also detailed Targon Tower, a high-performance computer for the home designed to run AI models locally and sell idle compute back to Targon’s confidential network. Hosted by const Full episode in the first comment
Openτensor Foundaτion16,083 次观看 • 1 个月前
“The only team productizing Constitutional AI outside of Anthropic is us” On the latest Novelty Search, Trishool | SN23 shared that SN23 is training a 0.8B guard model close to SOTA, at one-tenth the size of Qwen’s leading guard model. They also break down how competitive jailbreaks from Bittensor miners help harden their Constitutional AI guard models. Hosted by const Full episode in the first comment
Openτensor Foundaτion21,095 次观看 • 2 个月前
Bittensor is decentralizing Governance away from Opentensor It gives the network the ability to move fast when consensus is clear, and slow down when proposals need more scrutiny. Topics in this episode: • chain governance • Conviction (linked below) • root yield • root funds • subnet emissions • slashing primitives • shorting and longing • Tao Flow v2 Link to governance preview:
Openτensor Foundaτion22,209 次观看 • 3 个月前
