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Bittensor Guru Podcast S2E13 Subnet 9 IOTA ・ SN9 by Macrocosmos - Incentivized Orchestrated Training Architecture allows anyone to mine on Bittensor and contribute compute to its global AI training cluster. $TAO

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Keith Singery

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22,029 views • 8 months ago •via X (Twitter)

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If you hold $TAO you should be amplifying this 👇 A high-level conversation with macrozack (τ, τ) 🚀 of Macrocosmos where we discuss: - All things Bittensor - SN1 Apex・SN1 - SN9 IOTA ・ SN9 - SN13 Data Universe ・ SN13 - SN58 Handshake58 - And bitstarter a new kick starter for subnets There is too much alpha in here to ignore
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If you hold $TAO you should be amplifying this 👇 A high-level conversation with macrozack (τ, τ) 🚀 of Macrocosmos where we discuss: - All things Bittensor - SN1 Apex・SN1 - SN9 IOTA ・ SN9 - SN13 Data Universe ・ SN13 - SN58 Handshake58 - And bitstarter a new kick starter for subnets There is too much alpha in here to ignore

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WOAH @jason discussing Ridges AI | SN62 and Bittensor on The All-In Podcast 👀 there's clear opportunity post-templar to be the king subnet on $tao. chat, i need your help... is Ridges AI | SN62 the next $100M subnet runner and taking the subnet crown?
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WOAH @jason discussing Ridges AI | SN62 and Bittensor on The All-In Podcast 👀 there's clear opportunity post-templar to be the king subnet on $tao. chat, i need your help... is Ridges AI | SN62 the next $100M subnet runner and taking the subnet crown?

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Bittensor mentioned on the The All-In Podcast by host @jason Calacanis Speaking to Chamath Palihapitiya and Donald Trump's crypto and AI czar David Sacks These guys understand the impact #Bittensor will have on the future of AI and intelligence $TAO
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Want to learn more about Bittensor's subnets? Watch Macrocosmos unveil major updates for 5 unique subnets: - SN1 - Text prompting 🧠 - SN9 - Pre-Training 🛠️ - SN13 - Data Scraping 📚 - SN25 - Protein folding 🧬 - SN37 - Fine Tuning 🎛️ If you're new to the space, this video could be a good intro to what’s happening in decentralized AI. Presented by Will Squires + crux Full episode 19 available on Youtube and Spotify #Bittensor #DecentralizedAI $TAO
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Sat down with Bittensor co-founder Jacob Steeves (Const) for a deep dive into the state of Bittensor in 2026. We covered how Subnet 3 trained a 72B parameter model in a fully permissionless decentralized way, how subnets create markets for digital commodities like gradients and inference, the dynamic TAO tokenomics that lock emissions into subnet liquidity pools, and why open ownership of AI matters more than ever as centralized labs head toward trillion-dollar IPOs. 0:00 Intro: Bittensor Co-Founder Jacob Steeves 1:13 Jacob's Background, From Deep Learning to Crypto 4:45 Founding Bittensor: The Monetary Computer 7:58 How Subnets Work as Markets for Digital Commodities 11:18 Subnet 3: Decentralized Model Training 15:28 Permissionless Training at Internet Scale 18:52 Why This Matters: Open Source AI Ownership 25:53 Subnet Tour: Optimization, Inference, and Compute 29:55 Affine: Beating Qwen 30B via Market Incentives 34:26 TAO Tokenomics and Dynamic TAO 51:54 How Investors Participate: Just Buy TAO 54:05 Open Ownership vs Fiat AI
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Sat down with Bittensor co-founder Jacob Steeves (Const) for a deep dive into the state of Bittensor in 2026. We covered how Subnet 3 trained a 72B parameter model in a fully permissionless decentralized way, how subnets create markets for digital commodities like gradients and inference, the dynamic TAO tokenomics that lock emissions into subnet liquidity pools, and why open ownership of AI matters more than ever as centralized labs head toward trillion-dollar IPOs. 0:00 Intro: Bittensor Co-Founder Jacob Steeves 1:13 Jacob's Background, From Deep Learning to Crypto 4:45 Founding Bittensor: The Monetary Computer 7:58 How Subnets Work as Markets for Digital Commodities 11:18 Subnet 3: Decentralized Model Training 15:28 Permissionless Training at Internet Scale 18:52 Why This Matters: Open Source AI Ownership 25:53 Subnet Tour: Optimization, Inference, and Compute 29:55 Affine: Beating Qwen 30B via Market Incentives 34:26 TAO Tokenomics and Dynamic TAO 51:54 How Investors Participate: Just Buy TAO 54:05 Open Ownership vs Fiat AI

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53:45

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 Foundaτion

1,173,225 views • 4 months ago

“Our compute nodes don’t run a full copy of the models we train on IOTA. They actually run a small sliver of the model. This means you can train really large frontier sized models using very small building blocks”. CTO crux unpacks how IOTA ・ SN9’s model parallel architecture allows us to train at scale by splitting our models across multiple machines, and then sewing them together. This is core to SN9’s architecture. See the full Eye On A.I. podcast below.
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“Our compute nodes don’t run a full copy of the models we train on IOTA. They actually run a small sliver of the model. This means you can train really large frontier sized models using very small building blocks”. CTO crux unpacks how IOTA ・ SN9’s model parallel architecture allows us to train at scale by splitting our models across multiple machines, and then sewing them together. This is core to SN9’s architecture. See the full Eye On A.I. podcast below.

IOTA ・ SN9

15,465 views • 2 months ago

.Karia Samaroo (τ), Founder & CEO, xTAO - a Bittensor company (TSXV:XTAO.U), and his team, joined us to open the market to celebrate the Company's new listing on TSX Venture Exchange. xTAO is a technology company headquartered in the Cayman Islands and is focused on building infrastructure for the Bittensor ecosystem. xTAO is committed to advancing Bittensor and decentralized AI through building infrastructure and making strategic investments. Bittensor is a decentralized machine learning protocol that transforms machine intelligence into a tradable commodity by using its native token (TAO) for various purposes within the network. At its core, Bittensor is a platform built around incentives. Users contribute intelligence by helping AI systems improve and then earn TAO tokens based on the usefulness of the data or computational resources contributed to the network.
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.Karia Samaroo (τ), Founder & CEO, xTAO - a Bittensor company (TSXV:XTAO.U), and his team, joined us to open the market to celebrate the Company's new listing on TSX Venture Exchange. xTAO is a technology company headquartered in the Cayman Islands and is focused on building infrastructure for the Bittensor ecosystem. xTAO is committed to advancing Bittensor and decentralized AI through building infrastructure and making strategic investments. Bittensor is a decentralized machine learning protocol that transforms machine intelligence into a tradable commodity by using its native token (TAO) for various purposes within the network. At its core, Bittensor is a platform built around incentives. Users contribute intelligence by helping AI systems improve and then earn TAO tokens based on the usefulness of the data or computational resources contributed to the network.

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46,784 views • 1 year ago

This is so cool 🔥 Score - Subnet 44 just partnered with Reading FC to bring Computer Vision AI into the club.. helping with tactical analysis and player recruitment Subnet 44 on #Bittensor making real world moves.. love it 👏 $TAO
1:25

This is so cool 🔥 Score - Subnet 44 just partnered with Reading FC to bring Computer Vision AI into the club.. helping with tactical analysis and player recruitment Subnet 44 on #Bittensor making real world moves.. love it 👏 $TAO

𝗗𝗥𝗘𝗔𝗗 𝗕𝗢𝗡𝗚𝗢

16,018 views • 9 months ago

Had enough centralization? Time to FLock OFF! Introducing FLock OFF - SN96 - Subnet (UID 96) on Bittensor - a permissionless federated learning network optimized for Small Language Models (SLMs) training on edge devices. Made by FLock.io, accelerated by Yuma
1:38

Had enough centralization? Time to FLock OFF! Introducing FLock OFF - SN96 - Subnet (UID 96) on Bittensor - a permissionless federated learning network optimized for Small Language Models (SLMs) training on edge devices. Made by FLock.io, accelerated by Yuma

FLock.io

97,851 views • 1 year ago

The wait is finally over! We're thrilled to announce that the dashboard for our subnet is officially live. It gives anyone in the world access to GPUs on Bittensor like never before, all through Subnet 27—no technical knowledge of Bittensor required. Try it out at and receive $10 in free credit! A huge thank you to our amazing community for your support and feedback along the way. We couldn’t have done it without you! We welcome any feedback from the community to help improve future versions of the product. If you have any questions, please feel free to reach out. #bittensor #compute $TAO
0:20

The wait is finally over! We're thrilled to announce that the dashboard for our subnet is officially live. It gives anyone in the world access to GPUs on Bittensor like never before, all through Subnet 27—no technical knowledge of Bittensor required. Try it out at and receive $10 in free credit! A huge thank you to our amazing community for your support and feedback along the way. We couldn’t have done it without you! We welcome any feedback from the community to help improve future versions of the product. If you have any questions, please feel free to reach out. #bittensor #compute $TAO

Neural Internet

50,005 views • 1 year ago

Hash Rate - Ep 108: Targon - $TAO Subnet 4 🧙 Guest: James Woodman of Targon (on Bittensor) lets you run all the latest AI models at an 85% cost savings to AWS or OpenAI. 00:00 Bittensor ENDGAME 06:01 James Woodman's Journey to Bittensor 12:07 Understanding Targon 34:06 The Power of Bittensor vs. ChatGPT 41:56 Dippy: A Case Study 45:34 Revenue Generation 46:40 Competing with OpenAI and AWS 55:05 Target Market and Go-to-Market Strategy
1:02:04

Hash Rate - Ep 108: Targon - $TAO Subnet 4 🧙 Guest: James Woodman of Targon (on Bittensor) lets you run all the latest AI models at an 85% cost savings to AWS or OpenAI. 00:00 Bittensor ENDGAME 06:01 James Woodman's Journey to Bittensor 12:07 Understanding Targon 34:06 The Power of Bittensor vs. ChatGPT 41:56 Dippy: A Case Study 45:34 Revenue Generation 46:40 Competing with OpenAI and AWS 55:05 Target Market and Go-to-Market Strategy

Mark Jeffrey

16,992 views • 1 year ago

This is why decentralized AI will win.. This is why #Bittensor will win ⚫️ ⚪️ "There's about 20,000 GPUs roughly speaking on the #Bittensor network and they're all in a collection of subnets" ⚪️ "Subnet 64 has maybe most of them, maybe 10,000.. Subnet 4 has thousands.. Subnet 3 is around the neighborhood of thousands.. Subnet 51 is also almost 10,000" ⚪️ "So you add all this up and it's more than 10% might even be 20% of all of the compute that Elon Musk has had to spend tens of billions of dollars acquiring" I highly recommend listening to the full discussion of The $TAO Pod with JJ and James Altucher here 👉 $TAO
1:48

This is why decentralized AI will win.. This is why #Bittensor will win ⚫️ ⚪️ "There's about 20,000 GPUs roughly speaking on the #Bittensor network and they're all in a collection of subnets" ⚪️ "Subnet 64 has maybe most of them, maybe 10,000.. Subnet 4 has thousands.. Subnet 3 is around the neighborhood of thousands.. Subnet 51 is also almost 10,000" ⚪️ "So you add all this up and it's more than 10% might even be 20% of all of the compute that Elon Musk has had to spend tens of billions of dollars acquiring" I highly recommend listening to the full discussion of The $TAO Pod with JJ and James Altucher here 👉 $TAO

ＤＲＥＡＤ ＢＯＮＧＯ

48,276 views • 1 year ago

.const believes Bittensor will outpace centralized machine learning labs, becoming the go-to hub for efficient problem-solving in data collection, benchmarks, and AI training. As competitors emerge, $TAO aims to remain the Schelling point for digital commodity systems.
0:45

.const believes Bittensor will outpace centralized machine learning labs, becoming the go-to hub for efficient problem-solving in data collection, benchmarks, and AI training. As competitors emerge, $TAO aims to remain the Schelling point for digital commodity systems.

Grayscale

102,100 views • 1 year ago

“We want to orchestrate the world’s compute, in the same way Bitcoin did, but to train models that can rival ChatGPT” crux on the This Week in Startups podcast, sharing the motivations behind IOTA ・ SN9: to train frontier models efficiently and at scale, in an age where CapEx for centralized training is reaching unsustainable highs.
1:14

“We want to orchestrate the world’s compute, in the same way Bitcoin did, but to train models that can rival ChatGPT” crux on the This Week in Startups podcast, sharing the motivations behind IOTA ・ SN9: to train frontier models efficiently and at scale, in an age where CapEx for centralized training is reaching unsustainable highs.

Macrocosmos

14,467 views • 3 months ago