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๐ŸŽฌ MASSIVE $TAO NEWS: "The Incentive Layer" - First Bittensor Documentary drops October 2025 This isn't just another crypto doc. This is history being written. ๐Ÿ‘€ Watch the full trailer give it a like ๐Ÿ‘ and follow Everฯ„ ฯ„, ฯ„. Thanks to his incredible contributions to this vision: Featured...

14,770 views โ€ข 10 months ago โ€ขvia X (Twitter)

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A Bittensor subnet just outscored Claude and Cursor on the SWE benchmark. They spent less than $1 million to get there. Anthropic spent billions. I sat down with Mark Jeffrey, one of the most connected people in the Bittensor ecosystem, and he broke down everything. Here's what most people don't know about TAO. Bittensor takes Bitcoin's mining concept and makes it programmable. Instead of solving meaningless hash puzzles, miners compete on real AI tasks. Best freelancer wins. Blockchain pays them. No company. No CEO. No permission needed. Bitcoin did this for energy. Bittensor does it for talent. The numbers are wild: โ€ข Ridges (Subnet 62) built a Claude/Cursor competitor for under $1M โ€ข Miners on Ridges were earning $50K per day at peak โ€ข The Bittensor network has 128 subnets, each like its own AI startup โ€ข Mark says 20-30 of them could become multi-billion dollar companies โ€ข Only 20% of TAO is staked in subnets right now โ€ข Stakers are earning up to 80% yield on some subnets Mark has been in crypto since 2013. He was in the Ethereum ICO. He's seen every cycle. His take: Bittensor is the most important thing to happen in crypto since Ethereum. He calls TAO the "third great coin" alongside Bitcoin and ETH. The comparison to early Bitcoin is hard to ignore. TAO just had its first halving in December. Same 21 million supply cap. Same post-halving setup. When Bitcoin went through this phase, it jumped from $250 to $10,000. Mark's conservative target for TAO by end of 2026: $3,000. But the real insight was about demand. More subnets means more TAO gets locked up. Subnet cap going from 128 to 256. Staking will absorb most of the supply. And AI agents need crypto to transact. They can't open bank accounts. Bittensor is building the rails for that. Jensen Huang just talked about Templar, a Bittensor subnet, on stage. This isn't theoretical anymore. People are using this stuff. The products on Bittensor are 10 to 100x better than what we saw in early Ethereum. And we're still early.

Jesus Martinez

73,314 views โ€ข 4 months ago

Iโ€™m currently watching Raoul Pal's latest RV podcast on crypto in 2026, and the summary is 2026 is the year of AI He said "Barry Silbert is going to be right, and $TAO is gonna go up" I found it quite funny that most of the things and features they were talking about already exists on Bittensor They highlighted > data marketplaces > owning your data and selling it to models > AI integrated into trading, analytics, and decision-making > Claude-like models being plugged directly into products And said they havenโ€™t really seen this done properly on a blockchain level yet That's the thing alot of people are missing Because the blockchain thatโ€™s already decentralizing intelligence and incentivizing it is Bittensor What theyโ€™re describing for 2026 already exists on TAO The only problem is how to go bigger and drive adoption > decentralized data and intelligence markets > open competition between models > real incentives for performance > AI systems that can plug into finance, research, prediction, and analytics Even the โ€œClaude integrationโ€ they talked about? We already see dope models being used inside subnets, competing, evaluated, and rewarded openly. This is why the Bitcoin 2012 comparison keeps coming up Small builder community High signal Hard to understand No clear valuation framework yet But the difference this time is that the asset isnโ€™t money Itโ€™s intelligence $TAO is still under $300, way cheaper than $ZEC right now Not holding TAO long term, while the world is clearly moving toward AI-native economies, is a dumb mistake at The question isnโ€™t if intelligence becomes decentralized Itโ€™s who owns the rails when it does So far, only one network is actually building that Bittensor ($TAO)

Angry Davee

10,613 views โ€ข 6 months ago

๐Ÿš€ Exciting News $SHELL the Future of AI Agents and $TAO with the TTS Subnet on Bittensor! ๐Ÿš€ MyShell extends the impact of Bittensor's incentive mechanism to its over 1 million registered users and 50,000 creators, greatly expanding Bittensor's and $TAO's influence. MyShell and Bittensor are right at the heart this massive shake-up with $SHELL and $TAO. Theyโ€™re all about making AI not just smart but also something everyone can get into, thanks to the power of decentralized networks. And at the core? AI agents. These aren't your average digital assistants; they're about to change how we interact with tech on a whole new level. MyShell's Big Idea with $SHELL So, MyShellโ€™s got this big plan to make AI something anyone can dive into. They're launching this TTS Subnet thing on Bittensor's network, which is all about making machines talk in more human-like ways, and they're using $SHELL tokens to fuel this vision. Their goal? To push past old-school AI limits and create with AI as easy as pie, all while keeping it open-source and community-powered. Bittensor Does Its Magic with $TAO On the other side, youโ€™ve got Bittensor doing wonders with $TAO, building this massive network where anyone, anywhere, can chip in on AI research and development. This partnership with MyShell? Itโ€™s a game-changer, breaking down walls in AI development and letting folks from all over the world have a go at making AI smarter. $SHELL + $TAO = AI Revolution Putting $SHELL and $TAO together is where the magic really happens. MyShell and Bittensor arenโ€™t just teaming up for the tech; theyโ€™re here to transform our digital world, making AI agents a big part of our online lives. Imagine AI that doesnโ€™t just follow orders but helps, creates, and learns with you. Thatโ€™s the future theyโ€™re building. Hop on Board the AI Revolution This isnโ€™t just tech talk; itโ€™s a call to action. MyShell and Bittensor are inviting anyone with a spark for AI to jump in and help shape this new world. Whether youโ€™re a coder, a creator, or just curious, thereโ€™s a spot for you to dive in and make a difference. Want to get started? Check out MyShell on GitHub: Follow the latest buzz on X: MyShell.AI Take a deeper dive at Website: This is more than just building AI; itโ€™s about crafting a future where AI is part of everyoneโ€™s life, powered by the community, for the community. Letโ€™s make it happen with $SHELL and $TAO. Share on YouTube:

Andy ฯ„ฯ„

10,823 views โ€ข 2 years ago

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 worldโ€™s largest compute network - Bitcoin as a market for compute - The idea of an โ€œincentive computerโ€ - 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 :

Openฯ„ensor Foundaฯ„ion

1,173,212 views โ€ข 4 months ago

Weโ€™re back for Episode 14 of TAO Talk ๐Ÿšจ calanthia from Masa joins 563 and brody this week to chat about new subnets and AI agents sourcing intelligence from Bittensor! The group chats about: - $TAO -pilling AI/ML chads at NeurIPS Conference feat. const Crucible Labs Macrocosmos Manifold and Yuma - JJ teaming up with Cameron Fairchild to form Laฯ„enฯ„ Holdings, which will validate and help scale subnets - Crucible Labs drops a subnet analysis framework - Celium offering H100s cheaper than any other provider - Tao360 releases inaugural research report for their AI-enabled subnet analysis tool @notYourBananaa - Masa unveils the AI Agent Arena on SN59 /// Timestamps: 00:00 Intro 01:10 Subnet 42 and Agent Arena: Masaโ€™s Subnets 03:00 Real-Time Data Networks for AI 04:20 How Masa is Building AI Agent Arenas Inspired by Gladiators 06:10 Decentralized AI and Bittensor: The Growing Ecosystem 08:15 AI Meets Web3: Masaโ€™s Role in Revolutionizing Data Networks 10:00 The Future of AI Agents: Intelligent Societies and Real-Time Data 12:05 Why Masa Chose Bittensor 14:10 $TAO Incentives and the Future of AI Decentralization 16:25 Bittensor and the Rise of Agent Competition: Masaโ€™s Perspective 18:00 Exploring AI Agent Societies 20:30 Creating Competitive AI Arenas: The Agent Arena Subnet Explained 23:00 Calanthia on the Challenges of Web3 AI Development 25:10 Bringing Web2 Developers into Web3: Lessons from Masa 27:30 The Evolution of AI: From Dumb Agents to Intelligent Societies 30:00 AI Agents as the Future of Interaction in Decentralized AI 34:00 The Agent Arenaโ€™s Vision: Competition, Incentives, and Innovation

TAO ฯ„alk ๐Ÿฅฉ๐Ÿฆ

24,929 views โ€ข 1 year ago

$TAO just reclaimed the #1 AI crypto spot. Most people saw the headline. Almost nobody understands what it means for the price. Here is the data. $NEAR built real infrastructure. Partnerships. Developer activity. A legitimate ecosystem. $TAO just walked past it anyway. Not because of hype. Because Bittensor is the only AI crypto with a functioning marketplace for machine intelligence where supply, demand, and price discovery are all happening on-chain right now. That is not a roadmap. That is a live network. The numbers. 120+ subnets running today. $1.4B+ total ecosystem value. Chutes AI subnet: 150B+ tokens per day. Grayscale GTAO Trust: already live. Single subnet listed on the marketplace at $970,000 asking price. Subnets are becoming assets. The market is starting to price that. What the emission data is telling you. Emission rate is the network's vote on where the most valuable work is being done. When a subnet gains emission share, the collective stake-weighted intelligence of the network has decided that subnet's output is worth more of the TAO supply. Chutes AI gaining emissions while processing 150B tokens daily is not a coincidence. The network is directing capital toward proven output before any headline announces it. Why mainstream money changes everything. James Altucher just launched bluetao. ai, a TAO-powered ChatGPT alternative built directly on Bittensor subnets. He did not just buy the token. He built a product on the network. Products built on a network create structural demand for the native asset. That is how every successful L1 cycle has worked. Bittensor is now getting that builder activity from outside the crypto native world. That is a different signal from a price target tweet. Why $TAO is structurally different. Most AI tokens are betting their chain becomes the preferred environment for AI development. $TAO is not betting on becoming infrastructure. It already is. 120+ subnets running. Miners competing. Validators setting weights. Alpha tokens being priced in real time. The difference between $TAO and every other AI crypto is the difference between a city under construction and a city people are already living in. Van de Poppe said $1,000 to $2,000 in 12 months. He gave you the narrative. The subnet emission data is the mechanism he did not explain. Now you have both. $TAO at $313 with a $3.42B market cap is still early relative to what this network is actually processing. Centralised AI infrastructure companies are valued at hundreds of billions for processing far less novel work than a decentralised intelligence marketplace running 120+ competing subnets simultaneously. The repricing has not happened yet. The subnet marketplace listing at $970,000 is telling you something the price has not caught up to yet.

2xnmore

12,150 views โ€ข 2 months ago

Two people who were early in Bitcoin and early in Ethereum just went on record about $TAO. One of them wrote a book about Bitcoin in 2013. The other invested in the Ethereum ICO in 2015. Both of them started a fund with Jason Calacanis with a single thesis. Bittensor is the third great open-source substrate after Bitcoin and Ethereum. Here is the exact framing they used. In the early 90s Microsoft, AOL, and CompuServe were the well-capitalised incumbents. Everyone thought they would monopolise and run away with the internet. Then TCP/IP, Linux, and the World Wide Web came along and everything converged on an open-source substrate. Bittensor is that open-source substrate for the AI story playing out right now. OpenAI. Anthropic. Google DeepMind. XAI. Different cast of characters. Same pattern. And this time you can actually own a piece of the open-source substrate. Now read the valuation mismatch that should stop you cold. The four main AI labs combined are worth approximately $1.5 trillion. Bittensor is worth $1.7 billion. Ridges subnet competes directly with Claude and Cursor and has beaten them on benchmarks. Ridges market cap is $30 million. Cursor is worth $30 billion. That is not a small dislocation. That is a comical one. The highest valued subnet in the entire ecosystem is around $80 million. There has never been a billion dollar subnet yet. On Ethereum during the ICO mania projects with nowhere near this quality of output were raising hundreds of millions within minutes. Now think about how many orders of magnitude more capital is chasing AI opportunities today compared to 2017. When that capital discovers Bittensor the valuation rerating will be violent to the upside. Their exact words. Not mine. The man who called $TAO at $3,000 by end of 2026 said it directly. By 2030 it will be a trillion dollar ecosystem. Every molecule in my body is screaming this is another one. The people who read the docs always buy before the people who read the price. This is still early. Video credits to these legends Mark Jeffrey Jack Ai-Leung Rob Greer for their insight on TAO.

2xnmore

23,995 views โ€ข 15 days ago

Two people who were early in Bitcoin and early in Ethereum just went on record about $TAO. One of them wrote a book about Bitcoin in 2013. The other invested in the Ethereum ICO in 2015. Both of them started a fund with Jason Calacanis with a single thesis. Bittensor is the third great open-source substrate after Bitcoin and Ethereum. Here is the exact framing they used. In the early 90s Microsoft, AOL, and CompuServe were the well-capitalised incumbents. Everyone thought they would monopolise and run away with the internet. Then TCP/IP, Linux, and the World Wide Web came along and everything converged on an open-source substrate. Bittensor is that open-source substrate for the AI story playing out right now. OpenAI. Anthropic. Google DeepMind. XAI. Different cast of characters. Same pattern. And this time you can actually own a piece of the open-source substrate. Now read the valuation mismatch that should stop you cold. The four main AI labs combined are worth approximately $1.5 trillion. Bittensor is worth $1.7 billion. Ridges subnet competes directly with Claude and Cursor and has beaten them on benchmarks. Ridges market cap is $30 million. Cursor is worth $30 billion. That is not a small dislocation. That is a comical one. The highest valued subnet in the entire ecosystem is around $80 million. There has never been a billion dollar subnet yet. On Ethereum during the ICO mania projects with nowhere near this quality of output were raising hundreds of millions within minutes. Now think about how many orders of magnitude more capital is chasing AI opportunities today compared to 2017. When that capital discovers Bittensor the valuation rerating will be violent to the upside. Their exact words. Not mine. The man who called $TAO at $3,000 by end of 2026 said it directly. By 2030 it will be a trillion dollar ecosystem. Every molecule in my body is screaming this is another one. The people who read the docs always buy before the people who read the price. This is still early.

2xnmore

35,144 views โ€ข 1 month ago

๐Ÿšจ SUBNET 35 BREAKTHROUGH: LogicNet AI Rivals HUMAN EXPERTS! ๐Ÿง ๐Ÿ’ฅ@logicnet_ait Choose your weapon: Qwen2, Mistral, Baichuan2, or Falcon models now available! ๐Ÿ› ๏ธ $TAO holders are part-owners of a GLOBAL AI BRAIN trust! As these models improve, so does the VALUE and UTILITY of the entire ecosystem ๐Ÿ”ฅ Bittensor's Subnet 35 isn't just improving AI - it's REVOLUTIONIZING it! Here's what these mind-blowing stats REALLY mean: 1. ๐Ÿ“š SAT Performance (53.1%): - This is like an AI scoring 1060 out of 1600 on the SAT! - Puts the AI at the 50th percentile of HUMAN test-takers - Could help MILLIONS of students with SAT prep! 2. ๐Ÿ”ฌ MMLU-STEM (63.9% by Minerva 540B): - MMLU tests grad-school level knowledge - This score rivals EXPERT HUMANS in STEM fields - Potential to assist in CUTTING-EDGE research and innovation 3. ๐Ÿงฎ Math Skills (33.6% on complex tasks): - Tackles problems at the level of Math Olympiad competitions - Could speed up COMPLEX CALCULATIONS in physics, engineering, and finance - Imagine AI co-pilots for researchers and engineers! 4. ๐Ÿ’ก Logical Reasoning (36.4% on GSM8k): - GSM8k tests multi-step problem-solving - This level could help in LEGAL ANALYSIS, BUSINESS STRATEGY, and SCIENTIFIC RESEARCH - AI assistants that can break down complex problems for humans! 5. ๐ŸŒ Scale and Diversity (7B to 540B parameters): - From models that can run on your laptop to those rivaling TOP TECH GIANTS - Democratizes access to AI power for EVERYONE - Potential for personalized AI assistants tailored to YOUR needs ๐Ÿš€ Real-World Impact: - Education: AI tutors available 24/7, personalizing learning for MILLIONS - Research: Accelerating discoveries in medicine, climate science, and beyond - Business: AI strategists helping startups compete with FORTUNE 500 companies - Technology: Pushing the boundaries of what's possible in AI, rivaling or SURPASSING centralized tech giants This isn't just progress - it's a LEAP in decentralized AI capabilities! Bittensor's Subnet 35 is creating AI that doesn't just assist humans, but COLLABORATES with us at expert levels! ๐ŸŒŸ Why This MATTERS for Bittensor & $TAO: - Decentralized AI now COMPETING with multi-billion dollar tech companies Don't just watch the future unfold - be part of SHAPING it with Bittensor & $TAO! ๐Ÿš€๐ŸŒ Watch and Subcribe on YouTube for More: #Bittensor #TAO #AIRevolution #DecentralizedAI #FutureIsNow [DISCLAIMER: Not financial advice! DYOR. But remember, we're not just talking about numbers - we're talking about AI that could transform EVERY aspect of our lives! ๐Ÿคฏ๐Ÿš€]

Andy ฯ„ฯ„

30,393 views โ€ข 1 year ago

I pay Claude $20 a month. Most $TAO holders do too. There is a stack you can build in 15 minutes that fixes that completely. It runs on Bittensor. It costs $10. You do not write a single line of code. Here is how every AI chat product actually works under the hood. Three layers. Always three. The model. The brain. GPT, Claude, DeepSeek, Kimi, GLM. The inference layer. The GPU that runs the model when you hit send. The interface. The chat box you actually look at. ChatGPT and Claude bundle all three and hand you the result. You cannot change the model. You cannot change the inference. The interface is non-negotiable. Every prompt you type goes to a server run by a private company whose terms of service can quietly change next month. The anti-ChatGPT move is to pick each layer yourself. This is where $TAO comes in. Chutes is Subnet 64 on Bittensor. It is the inference layer. Open source models like DeepSeek, Kimi, GLM, and Llama get served by a global network of miner-operated GPUs. Validators score the output quality. The best inference wins the emissions. You hit send. A miner somewhere runs your prompt. You get the answer back. The TAO you hold is in part paying for the GPU you just used. The basic stack is one URL. chutes. ai/chat No account. No API key. No setup. Switch models mid-conversation. Web search built in. Image generation. File uploads. Free. The advanced stack is Chutes plus TypingMind. One-time license. No recurring fee. Plugins, agents, custom personas, a prompt library you build over months. Full model switching between Chutes, OpenAI, and Anthropic from the same window. Total cost: $10 a month to Chutes for inference. That $10 buys you $50 in actual usage. But here is the signal most people missed inside this story. Chutes ran a free tier until February. Then they killed it. Then they raised the minimum to $10 in May. Most people saw that as bad news. It is the opposite. Free things on the internet do not last. Real products do. Chutes is becoming a real product. A subnet that generates actual revenue from actual users paying actual money for actual AI inference. That is what $43 million in Q1 network revenue looks like at the individual subnet level. And there is one more thing ChatGPT and Claude cannot offer that Chutes already has. Trusted Execution Environments. Your prompt gets encrypted on your device, shipped to a confidential compute GPU, and the lock only breaks inside the chip. The miner running the model physically cannot read your prompt. ChatGPT cannot promise that. Claude cannot promise that. Bittensor already built it. You are holding a network where the subnets are generating real revenue, shipping real privacy infrastructure, and replacing $20 a month centralised subscriptions with $10 a month decentralised inference. The people who use the product always understand the investment better than the people who only watch the price.

2xnmore

27,067 views โ€ข 2 months ago