Openτensor Foundaτion
@opentensor • 173,482 subscribers
Incentivizing intelligence
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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 - Subnet 44 SN68 - Drug discovery :: METANOVA 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 - Subnet 44 SN68 - Drug discovery :: METANOVA 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 Foundaτion1,171,704 views • 2 months 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.
Openτensor Foundaτion120,587 views • 2 months ago
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 Foundaτion21,721 views • 13 days 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
Openτensor Foundaτion45,311 views • 1 month 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.
Openτensor Foundaτion39,995 views • 1 month ago
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🇨🇳 const at Tsinghua university, Beijing (Full presentation) // HackQuest
Openτensor Foundaτion62,380 views • 4 months ago
dTAO Whitepaper First Look Read it here: Full Conversation :: Novelty Search E031
Openτensor Foundaτion188,056 views • 1 year ago
Bittensor SN3 :: templar // covenant 72B "If intelligence is the most powerful thing, then decentralized training is humanity's last dance. it's the same thing we fought for, for ages." "It's what the internet tried to do. It's what Bitcoin tried to do - how do we reclaim agency? It was always, can we renegotiate the social contract with the Leviathan." "We can turn the Internet into a data center... But what for? The fight is to create optionality..." -Distributed State Novelty Search is a weekly community call hosted by Bittensor co-founder const
Openτensor Foundaτion22,982 views • 2 months ago
Decentralized RL as fast as centralized RL for LLMs. Bittensor SN81 grail has shattered the bandwidth barrier with PULSE (Patch Updates via Lossless Sparse Encoding). "By identifying the 99% weight sparsity inherent in Adam-bounded updates, we've achieved a 100x reduction in weight synchronization - dropping 14GB transfers to just ~140MB " Erfan Miahi + const :: covenant
Openτensor Foundaτion13,062 views • 2 months ago
Preview: New Subnet Analyzer Tool by WOMBO in our latest episode with Keith Singery, zion | w.ai and const Topics in this episode: - Cellular automata in AI and the potential of Rule 30 - Model compression for affordable AI on consumer hardware: SN39 - The trillion-row dataset initiative in SN36 - Validator diversity and decentralized ecosystem growth
Openτensor Foundaτion60,351 views • 1 year ago
