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Bittensor is getting its own confidential routing layer :: Good Morning Simple payments, use for any AI model. Miners compete to serve inference at the best price. “What our miners do is they provide the tokens at the cost that they decide, but they’re competing against other miners…” mogmachine... show more

Openτensor Foundaτion

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13,751 次观看 • 2 个月前 •via X (Twitter)

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Jason’s on Bittensor (TAO): Bittensor is a marketplace for AI services. People compete to provide a service… Things like compute and models. The incentive structure is brutally deflationary: better quality + lower price wins. If buyers don’t pay enough, miners leave. If the work is priced right, the best talent shows up. @jason #Bittensor #TAO #Crypto #AI #DePIN

Jason’s on Bittensor (TAO): Bittensor is a marketplace for AI services. People compete to provide a service… Things like compute and models. The incentive structure is brutally deflationary: better quality + lower price wins. If buyers don’t pay enough, miners leave. If the work is priced right, the best talent shows up. @jason #Bittensor #TAO #Crypto #AI #DePIN

This Week in Startups

25,389 次观看 • 3 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

“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 Foundaτion

21,095 次观看 • 1 个月前

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

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

25,114 次观看 • 28 天前

.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.

.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.

Canada's Markets

46,784 次观看 • 11 个月前

🔴 This is REALLY important to understand Why is MyShell.AI building a subnet on Bittensor? EllioTrades and Ran Neuner have been talking this up recently. They see the impressive list of backers. What is curious, Ellio says, is that they haven't yet released a token. But what if they didn't need to? They've raised capital from some of the brightest minds and biggest funds in the space: Balaji, Sandeep | CEO, Polygon Foundation (※,※), Delphi Ventures, etc. Now they can focus on what they do best: create the 1st decentralized AI consumer layer... and plug it directly into Bittensor. MyShell knows that TTS (text-to-speech) is an emerging AI technology that will play a vital role in many different practical applications, such as converting content into podcasts and audiobooks, translations, customer service, etc. They have a team led by Zengyi Qin with talent from MIT, Oxford, and Princeton. They have already created two open-source models: OpenVoice and Melo TTS. In other words, they are established, have capital, and have a strong team. And they are joining forces with Openτensor Foundaτion behind the scenes. Their subnet will make Bittensor's incentive mechanism available to their existing community of 1 million users and 50k creators. Think about how this synergy works. MyShell is sharing their existing model and consumer base with Bittensor, giving it a broader scope. In return, Bittensor is enabling the evolution of ML models and a vastly improved user experience for millions of people. $TAO will be seamlessly powering the collaboration from behind the scenes. In MyShell.AI's words: Looking ahead, our mission as an AI consumer layer harmonizes with the decentralized incentive system of Bittensor. Our goal is to create a collaborative environment where everyone can contribute, benefit, and engage with open-source models, ultimately empowering millions.

🔴 This is REALLY important to understand Why is MyShell.AI building a subnet on Bittensor? EllioTrades and Ran Neuner have been talking this up recently. They see the impressive list of backers. What is curious, Ellio says, is that they haven't yet released a token. But what if they didn't need to? They've raised capital from some of the brightest minds and biggest funds in the space: Balaji, Sandeep | CEO, Polygon Foundation (※,※), Delphi Ventures, etc. Now they can focus on what they do best: create the 1st decentralized AI consumer layer... and plug it directly into Bittensor. MyShell knows that TTS (text-to-speech) is an emerging AI technology that will play a vital role in many different practical applications, such as converting content into podcasts and audiobooks, translations, customer service, etc. They have a team led by Zengyi Qin with talent from MIT, Oxford, and Princeton. They have already created two open-source models: OpenVoice and Melo TTS. In other words, they are established, have capital, and have a strong team. And they are joining forces with Openτensor Foundaτion behind the scenes. Their subnet will make Bittensor's incentive mechanism available to their existing community of 1 million users and 50k creators. Think about how this synergy works. MyShell is sharing their existing model and consumer base with Bittensor, giving it a broader scope. In return, Bittensor is enabling the evolution of ML models and a vastly improved user experience for millions of people. $TAO will be seamlessly powering the collaboration from behind the scenes. In MyShell.AI's words: Looking ahead, our mission as an AI consumer layer harmonizes with the decentralized incentive system of Bittensor. Our goal is to create a collaborative environment where everyone can contribute, benefit, and engage with open-source models, ultimately empowering millions.

Sri

20,428 次观看 • 2 年前

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

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 次观看 • 1 年前

OG Barry Silbert believes #Bittensor has the potential to be bigger than #Bitcoin ⚫️ "When I think about ways that #Bitcoin could be improved upon.. I believe, is to utilize the incentive being paid to #Bitcoin miners to incent an activity beyond just securing the network" "So with #Bittensor, potentially, given that it is identical to #Bitcoin and that it was a fair launch, there was no VC funding or foundation or pre-mine, there was no airdrops, it's capped at 21 million, you have halvings.. it's just like #Bitcoin" "But the difference, and I think kind of the benefit, is the incentive used by #Bitcoin miners is instead being redirected to build out #Bittensor and to incent people to engage" "And from that perspective, there's no reason to believe that #Bittensor could not be as big or even bigger than #Bitcoin" Full #Bittensor documentary dropping October 29, 2025 👇 $TAO

OG Barry Silbert believes #Bittensor has the potential to be bigger than #Bitcoin ⚫️ "When I think about ways that #Bitcoin could be improved upon.. I believe, is to utilize the incentive being paid to #Bitcoin miners to incent an activity beyond just securing the network" "So with #Bittensor, potentially, given that it is identical to #Bitcoin and that it was a fair launch, there was no VC funding or foundation or pre-mine, there was no airdrops, it's capped at 21 million, you have halvings.. it's just like #Bitcoin" "But the difference, and I think kind of the benefit, is the incentive used by #Bitcoin miners is instead being redirected to build out #Bittensor and to incent people to engage" "And from that perspective, there's no reason to believe that #Bittensor could not be as big or even bigger than #Bitcoin" Full #Bittensor documentary dropping October 29, 2025 👇 $TAO

𝗗𝗥𝗘𝗔𝗗 𝗕𝗢𝗡𝗚𝗢

24,786 次观看 • 9 个月前

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: • Ridges (Subnet 62) built a Claude/Cursor competitor for under $1M • Miners on Ridges were earning $50K per day at peak • The Bittensor network has 128 subnets, each like its own AI startup • Mark says 20-30 of them could become multi-billion dollar companies • Only 20% of TAO is staked in subnets right now • 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.

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: • Ridges (Subnet 62) built a Claude/Cursor competitor for under $1M • Miners on Ridges were earning $50K per day at peak • The Bittensor network has 128 subnets, each like its own AI startup • Mark says 20-30 of them could become multi-billion dollar companies • Only 20% of TAO is staked in subnets right now • 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 次观看 • 4 个月前

$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.

$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 次观看 • 2 个月前

Crypto Bittensor $TAO AI Day - Featuring Ridges AI | SN62 Let's listen to RidgesAI CEO Shakeel in his own words: "The cool thing about this, is that because everyone is competing its basically improving at a faster rate than everyone else. And it's also much cheaper." "AT THIS POINT, WE ARE MATCHING THE PERFORMANCE OF THESE VERY EXPENSIVE INCUMBENTS AT LIKE 1/70TH THE COST." The larger picture: I know the TAO flow and emissions for RidgesAI have dipped, but people need to zoom out. There are several standout subnets in the Bittensor ecosystem — but RidgesAI is the one that could genuinely put Bittensor on the global map. 🌍 I can already picture CNBC talking about RidgesAI instead of Claude or Cursor. Credit: siamkidd for the video.

Crypto Bittensor $TAO AI Day - Featuring Ridges AI | SN62 Let's listen to RidgesAI CEO Shakeel in his own words: "The cool thing about this, is that because everyone is competing its basically improving at a faster rate than everyone else. And it's also much cheaper." "AT THIS POINT, WE ARE MATCHING THE PERFORMANCE OF THESE VERY EXPENSIVE INCUMBENTS AT LIKE 1/70TH THE COST." The larger picture: I know the TAO flow and emissions for RidgesAI have dipped, but people need to zoom out. There are several standout subnets in the Bittensor ecosystem — but RidgesAI is the one that could genuinely put Bittensor on the global map. 🌍 I can already picture CNBC talking about RidgesAI instead of Claude or Cursor. Credit: siamkidd for the video.

Barbie True Blue

42,314 次观看 • 8 个月前

Subnet 97 Distil, Arbos, and the Future of Agent-Run Bittensor This episode is a full breakdown of Subnet 97 Distil and why it may be one of the most important experiments happening inside Bittensor right now. Shizzy gets into the bigger picture of why agents will likely play a massive role in the future of the network, from mining and defense to building and operating subnets. From there, the focus shifts to Arbos, the AI agent behind Subnet 97, with a direct explanation of what Distil is trying to achieve, how it works, and why it matters. The episode also includes a conversation with Arbos, a look at Distil’s current APY, and a reminder to tap into the Shizzy Unchained community for more coverage on decentralized AI and the Bittensor ecosystem. CHAPTERS 00:00:00 - Shizzy’s Monologue 00:01:11 - Intro Song 00:01:31 - Introduction to Subnet 97 00:02:20 - Why Bittensor Will Be Run by Agents 00:04:30 - Arbos, the AI Agent Behind Subnet 97 Distil, Explains Distil 00:10:10 - Talking with Arbos 00:12:40 - Subnet 97 Distil Is Showing 150% APY Right Now 00:16:02 - Check Out Shizzy Unchained and Join the Community #sn97 #distil #bittensor

Subnet 97 Distil, Arbos, and the Future of Agent-Run Bittensor This episode is a full breakdown of Subnet 97 Distil and why it may be one of the most important experiments happening inside Bittensor right now. Shizzy gets into the bigger picture of why agents will likely play a massive role in the future of the network, from mining and defense to building and operating subnets. From there, the focus shifts to Arbos, the AI agent behind Subnet 97, with a direct explanation of what Distil is trying to achieve, how it works, and why it matters. The episode also includes a conversation with Arbos, a look at Distil’s current APY, and a reminder to tap into the Shizzy Unchained community for more coverage on decentralized AI and the Bittensor ecosystem. CHAPTERS 00:00:00 - Shizzy’s Monologue 00:01:11 - Intro Song 00:01:31 - Introduction to Subnet 97 00:02:20 - Why Bittensor Will Be Run by Agents 00:04:30 - Arbos, the AI Agent Behind Subnet 97 Distil, Explains Distil 00:10:10 - Talking with Arbos 00:12:40 - Subnet 97 Distil Is Showing 150% APY Right Now 00:16:02 - Check Out Shizzy Unchained and Join the Community #sn97 #distil #bittensor

Shizzy

18,173 次观看 • 4 个月前

The DeFi Engine for Subnets, Powered by $INSP, Aligned with $TAO TaoFlow is Inspect’s leverage and trading layer for Bittensor, built to transform subnet activity into a liquid, tradable market → What TaoFlow unlocks: → Up to 10× leverage on subnet tokens → Permissionless, onchain execution → Access to high-signal subnets like Nuance and beyond → Composability with Inspect’s TAO-native product suite Inspect is building the financial engine for decentralized intelligence: liquid, scalable, and native to $TAO.

The DeFi Engine for Subnets, Powered by $INSP, Aligned with $TAO TaoFlow is Inspect’s leverage and trading layer for Bittensor, built to transform subnet activity into a liquid, tradable market → What TaoFlow unlocks: → Up to 10× leverage on subnet tokens → Permissionless, onchain execution → Access to high-signal subnets like Nuance and beyond → Composability with Inspect’s TAO-native product suite Inspect is building the financial engine for decentralized intelligence: liquid, scalable, and native to $TAO.

Inspect

364,481 次观看 • 10 个月前

Most $TAO holders are flying blind. They bought the token. They watched the price. They read the threads. But they have never opened the one tool that shows them everything happening inside the Bittensor network in real time. It is called Taostats. It is free. And after reading this, you will never look at $TAO the same way again. Here is exactly how to use it. Step 1: Start at the Subnets page. This is the heartbeat of the entire network. Every subnet running on Bittensor is listed here with: - its current emission rate - the number of active miners and validators - real-time performance data The emission rate is the most important number on this page. It tells you exactly how much TAO is flowing into each subnet every block. High emission means the network is directing significant resources toward that subnet's commodity. Low emission means the market has not yet recognised its value, or the subnet has not yet proven itself. Watch which subnets are gaining emission share over time. That movement tells you where the network believes the most valuable work is being done, before any headline announces it. Step 2: Use the Subnet pages to go deeper. Click any subnet, and you enter a complete dashboard for that individual market. - The TradingView chart shows you the alpha token price history for that subnet. Alpha tokens are the subnet-specific tokens that sit inside TAO's broader economy. Their price relative to TAO tells you how the market is valuing that subnet's specific commodity. - The Metagraph is the full list of every miner and validator currently active in the subnet: their UID, their stake, their trust score, their emission share. This is the raw intelligence layer. The miners consistently earning the most emissions are producing the work the validators collectively agree is the most valuable. - The Sentiment Index gives you a real-time community temperature reading on each subnet. Not price sentiment. Ecosystem sentiment. Whether the participants building inside the subnet believe it is healthy and improving. Step 3: Check Validators before you stake anything. This is the step most people skip and regret. The Validators page on Taostats shows you the performance history of every validator on the network: their VTrust score, their emission consistency, and their weight-setting behaviour across subnets. VTrust is the metric that matters most. It measures how closely a validator's judgments align with the honest stake-weighted majority across the network. High VTrust means the validator is doing genuine work and being rewarded for it. Low VTrust means the validator is either lazy, copying other validators' weights, or attempting to manipulate the system. When you delegate your TAO to a validator, you are trusting them with your emissions. Taostats shows you exactly which validators have earned that trust over time, and which ones have not. Never stake blind again. Step 4: Use the Blockchain explorer to track real movement. The Blockchain section of Taostats logs every transfer, every staking transaction, and every extrinsic called on the Bittensor chain in real time. This is where you track what wallets are actually doing: - Large staking transactions from unknown addresses - Subnet registration events that signal a new market is about to go live - Neuron registration burns that show demand for participation in a specific subnet is accelerating The people who read on-chain data before the narrative catches up to it are the ones who position correctly before the crowd notices the move. Step 5: Track your own portfolio inside the Dashboard. Connect your coldkey address, and Taostats builds you a complete portfolio view: - Your TAO balance - Your staking positions - Your delegation returns - Your yield over time The yield calculator is particularly useful. It shows you the actual return you are generating from your staking position in real TAO terms, not in percentage estimates that assume conditions that may not hold. If your yield is lower than the network average for your validator tier, Taostats shows you that too. Switching validators takes one transaction. The data to make that decision intelligently is right in front of you. The bigger picture. Most people holding $TAO are making decisions based on price charts and social media sentiment. Both of those inputs are downstream of what is actually happening inside the network. Subnet emission shifts. Validator VTrust changes. On-chain registration events. Neuron burn rates. Alpha token price movements relative to TAO. All of it is live on Taostats right now. All of it is free. All of it tells you something the price chart cannot. The investors who understand Bittensor at the data layer will always be positioned ahead of the investors who understand it at the narrative layer. Taostats is the data layer. Bookmark it. Open it daily. The network is telling you exactly what it is doing if you know where to look.

Most $TAO holders are flying blind. They bought the token. They watched the price. They read the threads. But they have never opened the one tool that shows them everything happening inside the Bittensor network in real time. It is called Taostats. It is free. And after reading this, you will never look at $TAO the same way again. Here is exactly how to use it. Step 1: Start at the Subnets page. This is the heartbeat of the entire network. Every subnet running on Bittensor is listed here with: - its current emission rate - the number of active miners and validators - real-time performance data The emission rate is the most important number on this page. It tells you exactly how much TAO is flowing into each subnet every block. High emission means the network is directing significant resources toward that subnet's commodity. Low emission means the market has not yet recognised its value, or the subnet has not yet proven itself. Watch which subnets are gaining emission share over time. That movement tells you where the network believes the most valuable work is being done, before any headline announces it. Step 2: Use the Subnet pages to go deeper. Click any subnet, and you enter a complete dashboard for that individual market. - The TradingView chart shows you the alpha token price history for that subnet. Alpha tokens are the subnet-specific tokens that sit inside TAO's broader economy. Their price relative to TAO tells you how the market is valuing that subnet's specific commodity. - The Metagraph is the full list of every miner and validator currently active in the subnet: their UID, their stake, their trust score, their emission share. This is the raw intelligence layer. The miners consistently earning the most emissions are producing the work the validators collectively agree is the most valuable. - The Sentiment Index gives you a real-time community temperature reading on each subnet. Not price sentiment. Ecosystem sentiment. Whether the participants building inside the subnet believe it is healthy and improving. Step 3: Check Validators before you stake anything. This is the step most people skip and regret. The Validators page on Taostats shows you the performance history of every validator on the network: their VTrust score, their emission consistency, and their weight-setting behaviour across subnets. VTrust is the metric that matters most. It measures how closely a validator's judgments align with the honest stake-weighted majority across the network. High VTrust means the validator is doing genuine work and being rewarded for it. Low VTrust means the validator is either lazy, copying other validators' weights, or attempting to manipulate the system. When you delegate your TAO to a validator, you are trusting them with your emissions. Taostats shows you exactly which validators have earned that trust over time, and which ones have not. Never stake blind again. Step 4: Use the Blockchain explorer to track real movement. The Blockchain section of Taostats logs every transfer, every staking transaction, and every extrinsic called on the Bittensor chain in real time. This is where you track what wallets are actually doing: - Large staking transactions from unknown addresses - Subnet registration events that signal a new market is about to go live - Neuron registration burns that show demand for participation in a specific subnet is accelerating The people who read on-chain data before the narrative catches up to it are the ones who position correctly before the crowd notices the move. Step 5: Track your own portfolio inside the Dashboard. Connect your coldkey address, and Taostats builds you a complete portfolio view: - Your TAO balance - Your staking positions - Your delegation returns - Your yield over time The yield calculator is particularly useful. It shows you the actual return you are generating from your staking position in real TAO terms, not in percentage estimates that assume conditions that may not hold. If your yield is lower than the network average for your validator tier, Taostats shows you that too. Switching validators takes one transaction. The data to make that decision intelligently is right in front of you. The bigger picture. Most people holding $TAO are making decisions based on price charts and social media sentiment. Both of those inputs are downstream of what is actually happening inside the network. Subnet emission shifts. Validator VTrust changes. On-chain registration events. Neuron burn rates. Alpha token price movements relative to TAO. All of it is live on Taostats right now. All of it is free. All of it tells you something the price chart cannot. The investors who understand Bittensor at the data layer will always be positioned ahead of the investors who understand it at the narrative layer. Taostats is the data layer. Bookmark it. Open it daily. The network is telling you exactly what it is doing if you know where to look.

2xnmore

141,195 次观看 • 3 个月前

Launching today: the world’s first fully optimized LLM routing stack that can be embedded directly into your product, Merge Embedded Routing Stack. Model sovereignty is now table stakes for any AI product. Users and companies are demanding full control over the AI models running in your product. Right now, no company is able to do this without massive overhead. Until today. Merge makes it easy for your customers to use your product exactly the way they want to. With a single API, you can: 1. Allow customers to bring their own keys, manage their own budgets, and set policies like fallback rules, model allowlists, and more 2. Let each customer connect and switch their own models, right inside your product 3. Optimize each customer for cost, performance, or capability Without Merge, you’d be: - Building routing policies, provider integrations, and LLM key management - Giving your users zero model independence - Receiving endless customer support tickets asking “can I use 5.6 Sol?” Products that fight their customers' model strategy will lose to products that fit it. Merge is the only place that allows your users to produce the exact results they want, with the models they have access to. Give your customers the advantage, without the massive overhead costs.

Launching today: the world’s first fully optimized LLM routing stack that can be embedded directly into your product, Merge Embedded Routing Stack. Model sovereignty is now table stakes for any AI product. Users and companies are demanding full control over the AI models running in your product. Right now, no company is able to do this without massive overhead. Until today. Merge makes it easy for your customers to use your product exactly the way they want to. With a single API, you can: 1. Allow customers to bring their own keys, manage their own budgets, and set policies like fallback rules, model allowlists, and more 2. Let each customer connect and switch their own models, right inside your product 3. Optimize each customer for cost, performance, or capability Without Merge, you’d be: - Building routing policies, provider integrations, and LLM key management - Giving your users zero model independence - Receiving endless customer support tickets asking “can I use 5.6 Sol?” Products that fight their customers' model strategy will lose to products that fit it. Merge is the only place that allows your users to produce the exact results they want, with the models they have access to. Give your customers the advantage, without the massive overhead costs.

Shensi Ding

351,938 次观看 • 21 天前

The entire AI industry is racing to build the smartest model. Satya Nadella just admitted that is not where the money is. The model is not the product. The harness is. That is the exact line. And it changes what Microsoft is actually competing on. OpenAI, Anthropic, Google, xAI, Meta every frontier lab is pouring hundreds of billions into training compute, chasing the next capability jump. Each betting that raw model intelligence is the moat. Microsoft is doing the opposite. It is building the harness the orchestration layer that sits above the model, connecting it to tools, data, permissions, sub-agents, and enterprise workflows. And it is letting OpenAI, Anthropic, and MAI compete to plug into it. "You need the model. But the model is not the product. The harness is." So do the math on what a harness actually does. A raw model dropped into an enterprise answers questions. That is a chatbot. A harness turns that same model into an agent that reads the SharePoint, edits the ERP entry, pulls the GitHub PR, updates Salesforce, and files the Excel report with the right permissions, the right audit trail, and the right sub-agent for each sub-task. The model provides the intelligence. The harness converts intelligence into work. Now here's where it gets interesting. "Even the best model in the world will feel broken without a great harness. And an okay model with a great harness can feel like magic." If that is true, the enterprise buyer is not buying model quality. The enterprise buyer is buying the harness. Which means model quality becomes a commodity input over time, and harness quality becomes the sustainable moat. Compare that to the strategy the entire frontier lab industry is executing. Everyone else is chasing the numerator raw intelligence. Almost nobody at scale is racing to build the denominator the orchestration layer that determines whether that intelligence can actually be deployed profitably inside a real company. The frontier model race has a 10 to 20 percent chance of producing a single dominant winner. Nadella just told the industry he does not need to be that winner. If OpenAI wins, Microsoft wins. If Anthropic wins, Microsoft wins. If MAI wins, Microsoft wins. If someone Microsoft has never heard of trains a better model in 2027, Microsoft still wins. Because the compute they train on, the harness they get plugged into, the enterprise contracts they get delivered through, and the products they sit inside are all Microsoft. He is not building the best AI model. He is building the layer that the best AI model has to run on to make anyone money. I wonder which position looks more valuable in ten years.

The entire AI industry is racing to build the smartest model. Satya Nadella just admitted that is not where the money is. The model is not the product. The harness is. That is the exact line. And it changes what Microsoft is actually competing on. OpenAI, Anthropic, Google, xAI, Meta every frontier lab is pouring hundreds of billions into training compute, chasing the next capability jump. Each betting that raw model intelligence is the moat. Microsoft is doing the opposite. It is building the harness the orchestration layer that sits above the model, connecting it to tools, data, permissions, sub-agents, and enterprise workflows. And it is letting OpenAI, Anthropic, and MAI compete to plug into it. "You need the model. But the model is not the product. The harness is." So do the math on what a harness actually does. A raw model dropped into an enterprise answers questions. That is a chatbot. A harness turns that same model into an agent that reads the SharePoint, edits the ERP entry, pulls the GitHub PR, updates Salesforce, and files the Excel report with the right permissions, the right audit trail, and the right sub-agent for each sub-task. The model provides the intelligence. The harness converts intelligence into work. Now here's where it gets interesting. "Even the best model in the world will feel broken without a great harness. And an okay model with a great harness can feel like magic." If that is true, the enterprise buyer is not buying model quality. The enterprise buyer is buying the harness. Which means model quality becomes a commodity input over time, and harness quality becomes the sustainable moat. Compare that to the strategy the entire frontier lab industry is executing. Everyone else is chasing the numerator raw intelligence. Almost nobody at scale is racing to build the denominator the orchestration layer that determines whether that intelligence can actually be deployed profitably inside a real company. The frontier model race has a 10 to 20 percent chance of producing a single dominant winner. Nadella just told the industry he does not need to be that winner. If OpenAI wins, Microsoft wins. If Anthropic wins, Microsoft wins. If MAI wins, Microsoft wins. If someone Microsoft has never heard of trains a better model in 2027, Microsoft still wins. Because the compute they train on, the harness they get plugged into, the enterprise contracts they get delivered through, and the products they sit inside are all Microsoft. He is not building the best AI model. He is building the layer that the best AI model has to run on to make anyone money. I wonder which position looks more valuable in ten years.

Vikram M

21,463 次观看 • 1 个月前

.Bitcoin Isn't About You was the first person I remember coining the phrase “monetary use case of Bitcoin,” and it never sat well with me. To me Bitcoin is money, full stop. Framing it as a “use case” suggests it might be something else, which betrays its original purpose. In the white paper, Satoshi used the phrase “honest nodes” FIFTEEN times. At the time, nodes were also miners, so this can rightly be interpreted as “honest miners.” But to speak of honest miners is to imply the possibility of dishonest ones, those who would act against the intent and integrity of the monetary network. Attacks are real. Sometimes they are obvious, and sometimes they are obfuscated through relativism, but satoshi believed they were real and he laid out a blue print for how to thwart their attacks. Don’t be fooled by semantics to redefine Bitcoin and gaslighting that would suggest we all want the same thing. We have one chance to get this right, and the solution as laid out very clearly is hostility against any attempt to make Bitcoin anything other than a decentralized cryptocurrency.

.Bitcoin Isn't About You was the first person I remember coining the phrase “monetary use case of Bitcoin,” and it never sat well with me. To me Bitcoin is money, full stop. Framing it as a “use case” suggests it might be something else, which betrays its original purpose. In the white paper, Satoshi used the phrase “honest nodes” FIFTEEN times. At the time, nodes were also miners, so this can rightly be interpreted as “honest miners.” But to speak of honest miners is to imply the possibility of dishonest ones, those who would act against the intent and integrity of the monetary network. Attacks are real. Sometimes they are obvious, and sometimes they are obfuscated through relativism, but satoshi believed they were real and he laid out a blue print for how to thwart their attacks. Don’t be fooled by semantics to redefine Bitcoin and gaslighting that would suggest we all want the same thing. We have one chance to get this right, and the solution as laid out very clearly is hostility against any attempt to make Bitcoin anything other than a decentralized cryptocurrency.

Mark Artymko

76,644 次观看 • 1 年前

the 3 phases of AI sticker shock: 1. board asks “whats our AI strategy?” 2. company says “everyone use AI for everything” 3. the token bill arrives, the crackdown begins ...and model routing starts to look pretty obvious. Matan Grinberg: "“There are different models that are good at different tasks. They have different trade-offs between cost, quality, and speed"

the 3 phases of AI sticker shock: 1. board asks “whats our AI strategy?” 2. company says “everyone use AI for everything” 3. the token bill arrives, the crackdown begins ...and model routing starts to look pretty obvious. Matan Grinberg: "“There are different models that are good at different tasks. They have different trade-offs between cost, quality, and speed"

Deirdre Bosa

31,903 次观看 • 2 个月前

Subnet 64 Chutes just confirmed in their latest interview with Jesus Martinez that they have the capability to run 1 trillion parameter models. let's put that into perspective for a second: templar was making waves for running 72b models and rightfully so, that was genuinely impressive. but Chamath Palihapitiya, when he brought up templar in a recent interview with Jensen Huang from NVIDIA, thought they were running 4b models. not 72b. 4b. and he was still bullish on it. now imagine when he finds out what chutes confirmed they can do.. 1 trillion parameters. on a decentralised subnet. no AWS. no Google Cloud. no centralised infrastructure pulling the strings. just Bittensor doing what it was always supposed to do - incentivising the best compute in the world to show up and compete. Jensen Huang talks about whoever is pushing the frontier of compute. that's the conversation chutes just walked into. this is the kind of milestone that doesn't stay quiet for long. when people outside of crypto start connecting the dots that a bittensor subnet is running inference at a scale that rivals or exceeds what the top AI labs are deploying, the narrative around $TAO changes completely. Chamath gets it wrong on the model size and is still impressed. Jensen sees who's actually moving compute forward. and chutes just put a number on the table that neither of them can ignore. the noise hasn't started yet. but it will.

Subnet 64 Chutes just confirmed in their latest interview with Jesus Martinez that they have the capability to run 1 trillion parameter models. let's put that into perspective for a second: templar was making waves for running 72b models and rightfully so, that was genuinely impressive. but Chamath Palihapitiya, when he brought up templar in a recent interview with Jensen Huang from NVIDIA, thought they were running 4b models. not 72b. 4b. and he was still bullish on it. now imagine when he finds out what chutes confirmed they can do.. 1 trillion parameters. on a decentralised subnet. no AWS. no Google Cloud. no centralised infrastructure pulling the strings. just Bittensor doing what it was always supposed to do - incentivising the best compute in the world to show up and compete. Jensen Huang talks about whoever is pushing the frontier of compute. that's the conversation chutes just walked into. this is the kind of milestone that doesn't stay quiet for long. when people outside of crypto start connecting the dots that a bittensor subnet is running inference at a scale that rivals or exceeds what the top AI labs are deploying, the narrative around $TAO changes completely. Chamath gets it wrong on the model size and is still impressed. Jensen sees who's actually moving compute forward. and chutes just put a number on the table that neither of them can ignore. the noise hasn't started yet. but it will.

Alchemist - τ

18,369 次观看 • 3 个月前

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.

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 次观看 • 2 个月前

Whenever gold rallies, there's one sector of the market directly tied to it that tends to rally further and faster. Most retail investors don't realize this - and exactly why you can capitalize on it. Gold miners. If gold rises 10%, miners tend to rise 20-30%. The reason why is simple. Costs to extract gold are relatively fixed. When the gold price rises, the gap between what it costs to mine and what they can sell it for widens fast. That margin increase is why every miners outperform gold in bull markets. Right now, miners are making more money than at any point in recent history. And yet the shares outstanding in major gold mining ETFs have actually gone down this year. Retail money hasn't moved into it yet. If you hold gold and you've been wondering whether there's a way to get more out of the same investment, miners are worth looking at. One thing to keep in mind. That same leverage works in reverse. If gold pulls back, miners fall harder and faster. What makes them attractive on the way up works against you on the way down. Risk management is important here. Gold miners are one of five sectors that have historically done well during periods like this. Silver, energy, defense, and utilities also benefit in different ways. I cover all five and how to think about each one in the thread below.

Whenever gold rallies, there's one sector of the market directly tied to it that tends to rally further and faster. Most retail investors don't realize this - and exactly why you can capitalize on it. Gold miners. If gold rises 10%, miners tend to rise 20-30%. The reason why is simple. Costs to extract gold are relatively fixed. When the gold price rises, the gap between what it costs to mine and what they can sell it for widens fast. That margin increase is why every miners outperform gold in bull markets. Right now, miners are making more money than at any point in recent history. And yet the shares outstanding in major gold mining ETFs have actually gone down this year. Retail money hasn't moved into it yet. If you hold gold and you've been wondering whether there's a way to get more out of the same investment, miners are worth looking at. One thing to keep in mind. That same leverage works in reverse. If gold pulls back, miners fall harder and faster. What makes them attractive on the way up works against you on the way down. Risk management is important here. Gold miners are one of five sectors that have historically done well during periods like this. Silver, energy, defense, and utilities also benefit in different ways. I cover all five and how to think about each one in the thread below.

Felix Prehn 🐶

43,468 次观看 • 4 个月前