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BITTENSOR'S INSTITUTIONAL CASE GETS A LOT HARDER TO IGNORE Openτensor Foundaτion's Q1 2026 brought serious institutional validation. Nvidia staked $420M in $TAO with 77% locked. Polychain Capital added $200M in exposure. The network generated $43M in real AI usage revenue last quarter, driven by functional subnets like Chutes. Both... show more

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96,306 views • 2 months ago •via X (Twitter)

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BIGGER PICTURE: BITTENSOR DOUBLES SUBNET CAPACITY FROM 128 TO 256 Adding to the institutional case: Openτensor Foundaτion is doubling protocol-level subnet capacity from 128 to 256, opening up 128 new slots for AI builders to launch on $TAO. Subnet emissions are how $TAO is distributed, so more subnets means more onchain AI projects competing for revenue and network share. With Chutes already producing real inference revenue, the supply-side expansion is being met with verifiable demand-side traction.

BIGGER PICTURE: BITTENSOR DOUBLES SUBNET CAPACITY FROM 128 TO 256 Adding to the institutional case: Openτensor Foundaτion is doubling protocol-level subnet capacity from 128 to 256, opening up 128 new slots for AI builders to launch on $TAO. Subnet emissions are how $TAO is distributed, so more subnets means more onchain AI projects competing for revenue and network share. With Chutes already producing real inference revenue, the supply-side expansion is being met with verifiable demand-side traction.

BSCN

37,412 views • 2 months ago

Nvidia put $420M into $TAO with 77% of it staked. Polychain added $200M on top of that. Grayscale and Bitwise both filed for spot TAO ETFs in the same quarter. The network generated $43M in real AI revenue last quarter from actual usage, not speculation. Most people are still treating this like a small cap gamble while institutions are treating it like infrastructure. The people who understand what is being built here will not need anyone to explain the price later.

Nvidia put $420M into $TAO with 77% of it staked. Polychain added $200M on top of that. Grayscale and Bitwise both filed for spot TAO ETFs in the same quarter. The network generated $43M in real AI revenue last quarter from actual usage, not speculation. Most people are still treating this like a small cap gamble while institutions are treating it like infrastructure. The people who understand what is being built here will not need anyone to explain the price later.

2xnmore

42,573 views • 2 months ago

People called $TAO dead in April because one founder sold. Sam Altman raised $40B this year. OpenAI is chasing a $1T valuation. They have one product and one point of failure. TAO has 128 subnets, each one a separate bet, each one able to survive independently. Intel co-authored a paper with one of them. PwC signed a distribution deal with another. Grayscale filed for a spot ETF. $3B market cap against a $1T addressable AI economy is not a valuation. It is a pricing error. The people who recognised this in May 2026 will not need to explain themselves later. Like, if you see what I see here.

People called $TAO dead in April because one founder sold. Sam Altman raised $40B this year. OpenAI is chasing a $1T valuation. They have one product and one point of failure. TAO has 128 subnets, each one a separate bet, each one able to survive independently. Intel co-authored a paper with one of them. PwC signed a distribution deal with another. Grayscale filed for a spot ETF. $3B market cap against a $1T addressable AI economy is not a valuation. It is a pricing error. The people who recognised this in May 2026 will not need to explain themselves later. Like, if you see what I see here.

2xnmore

33,336 views • 1 month ago

$TAO isn't dead. They called it dead at $300. It's at $200 and they're calling it dead again. Here is what the chart is not showing you: $2.2B market cap. $200M+ in 24-hour volume. 11M circulating supply with the halving already executed. 67% of supply staked and locked. Emissions cut in half. 7,200 $TAO per day down to 3,600. Every new subnet requires buying and staking more $TAO to activate. Subnet token valuations already hit $1.5B earlier this year. Grayscale filed for a spot $TAO ETF. Bitwise filed too. Decision window still open. This is not a dead asset. This is a misread asset. Real decentralized compute. Real supply shock mechanics. Real institutional positioning in the background. While the crowd prices it like a hype token that missed its cycle. The gap between on-chain reality and chart noise is not closing slowly. It just widened again. The people calling $TAO dead right now will be explaining themselves when the next catalyst hits. The people who read the docs are already accumulating. Screenshot this. Come back in 3 months. The market still has not priced this in.

$TAO isn't dead. They called it dead at $300. It's at $200 and they're calling it dead again. Here is what the chart is not showing you: $2.2B market cap. $200M+ in 24-hour volume. 11M circulating supply with the halving already executed. 67% of supply staked and locked. Emissions cut in half. 7,200 $TAO per day down to 3,600. Every new subnet requires buying and staking more $TAO to activate. Subnet token valuations already hit $1.5B earlier this year. Grayscale filed for a spot $TAO ETF. Bitwise filed too. Decision window still open. This is not a dead asset. This is a misread asset. Real decentralized compute. Real supply shock mechanics. Real institutional positioning in the background. While the crowd prices it like a hype token that missed its cycle. The gap between on-chain reality and chart noise is not closing slowly. It just widened again. The people calling $TAO dead right now will be explaining themselves when the next catalyst hits. The people who read the docs are already accumulating. Screenshot this. Come back in 3 months. The market still has not priced this in.

2xnmore

21,206 views • 1 month ago

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 views • 3 months ago

After the Templar Covenant exit last week, the need for institutional grade risk frameworks couldn’t be more obvious Since then we’ve seen Manako partner with PWC and multiple plans to rollout trillion parameter training runs from other subnets Compute is being squeezed and non-AI companies are pivoting to GPU marketplaces to capture this insatiable demand (see All Birds Inc yesterday) Capital is flowing into Bittensor subnets with minimal structure in evaluating signal. That’s how you get blindsided TAO Institute gives institutional allocators the risk frameworks and evaluation tooling to actually underwrite these positions Think of it as the infrastructure layer between capital and the subnet economy We are now live; so kick the tyres on the platform and tell us what’s missing

After the Templar Covenant exit last week, the need for institutional grade risk frameworks couldn’t be more obvious Since then we’ve seen Manako partner with PWC and multiple plans to rollout trillion parameter training runs from other subnets Compute is being squeezed and non-AI companies are pivoting to GPU marketplaces to capture this insatiable demand (see All Birds Inc yesterday) Capital is flowing into Bittensor subnets with minimal structure in evaluating signal. That’s how you get blindsided TAO Institute gives institutional allocators the risk frameworks and evaluation tooling to actually underwrite these positions Think of it as the infrastructure layer between capital and the subnet economy We are now live; so kick the tyres on the platform and tell us what’s missing

0xSammy

18,086 views • 3 months ago

Bittensor $TAO just got talked about on the floor of the NYSE 🏛 Evan Malanga, CRO of Yuma, went on FINTECH.TV's Market Movers at the Opening Bell. This isn't crypto Twitter. This is traditional finance media broadcast from inside the New York Stock Exchange. The audience is institutional investors, fund managers, and TradFi professionals. He broke down: → How $TAO democratizes AI through token incentives → The subnet architecture and competitive miner design → Why Bittensor is like the early World Wide Web for intelligence → Real-world applications with builders competing to produce AI outputs → TradFi rails entering the crypto ecosystem The signal here is clear. Yuma is DCG-backed. They're not just building subnets they're putting $TAO in front of the people who write the checks. Grayscale Trust. Deutsche Digital Assets ETP. Connecticut state VC fund. And now NYSE floor interviews. This is how institutional adoption actually happens. Not announcements. Conversations in the rooms that matter. $TAO is being positioned as infrastructure, not speculation. Watch the full interview: The people who need to see Bittensor are starting to see it.

Bittensor $TAO just got talked about on the floor of the NYSE 🏛 Evan Malanga, CRO of Yuma, went on FINTECH.TV's Market Movers at the Opening Bell. This isn't crypto Twitter. This is traditional finance media broadcast from inside the New York Stock Exchange. The audience is institutional investors, fund managers, and TradFi professionals. He broke down: → How $TAO democratizes AI through token incentives → The subnet architecture and competitive miner design → Why Bittensor is like the early World Wide Web for intelligence → Real-world applications with builders competing to produce AI outputs → TradFi rails entering the crypto ecosystem The signal here is clear. Yuma is DCG-backed. They're not just building subnets they're putting $TAO in front of the people who write the checks. Grayscale Trust. Deutsche Digital Assets ETP. Connecticut state VC fund. And now NYSE floor interviews. This is how institutional adoption actually happens. Not announcements. Conversations in the rooms that matter. $TAO is being positioned as infrastructure, not speculation. Watch the full interview: The people who need to see Bittensor are starting to see it.

Andy ττ

27,275 views • 4 months ago

We're thrilled to announce the launch of our Smart Allocator, a powerful new tool designed specifically to simplify staking TAO in the Bittensor ecosystem. Check it out here: With Smart Allocator, all the TAO you earn from staking to root will be automatically staked into the top 20 subnets ranked by price. We believe this is a powerful solution for passive TAO holders wanting some exposure to higher network yields while managing subnet volatility risk. We created a simulator on our website to help you better understand how the Smart Allocator works. Why did we build this? Crucible Labs was founded to make Bittensor more accessible and useful. We believe simple, consumer-friendly staking products will encourage participation, ensuring the most promising subnets receive the strongest support from the network. Ready to simplify staking your TAO? Get started with Smart Allocator today and experience a smarter, easier and more powerful way to engage with the future of decentralized AI. We have created a user guide to help walk you through how to set up, stake, and make the most of Crucible's powerful features, including Smart Allocation with Core Alpha and direct subnet control. Get Crucible Wallet here: Ala and David

We're thrilled to announce the launch of our Smart Allocator, a powerful new tool designed specifically to simplify staking TAO in the Bittensor ecosystem. Check it out here: With Smart Allocator, all the TAO you earn from staking to root will be automatically staked into the top 20 subnets ranked by price. We believe this is a powerful solution for passive TAO holders wanting some exposure to higher network yields while managing subnet volatility risk. We created a simulator on our website to help you better understand how the Smart Allocator works. Why did we build this? Crucible Labs was founded to make Bittensor more accessible and useful. We believe simple, consumer-friendly staking products will encourage participation, ensuring the most promising subnets receive the strongest support from the network. Ready to simplify staking your TAO? Get started with Smart Allocator today and experience a smarter, easier and more powerful way to engage with the future of decentralized AI. We have created a user guide to help walk you through how to set up, stake, and make the most of Crucible's powerful features, including Smart Allocation with Core Alpha and direct subnet control. Get Crucible Wallet here: Ala and David

Crucible Labs

74,357 views • 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.

$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 • 1 month ago

🎬 MASSIVE $TAO NEWS: "The Incentive Layer" - First Bittensor Documentary drops October 2025 This isn't just another crypto doc. This is history being written. 👀 Watch the full trailer give it a like 👍 and follow Everτ τ, τ. Thanks to his incredible contributions to this vision: Featured legends: • Barry Silbert (DCG/Yuma) • Const (Bittensor founder) • Jon Durbin (Chutes/Rayon Labs) • The builders who are actually shipping The last time a major crypto project got this level of documentary treatment early... Well, check the ETH and BTC charts from those years. Why this matters: Netflix had "Banking on Bitcoin" → BTC went mainstream Ethereum had "The Infinite Machine" → Smart contracts normalized Now Bittensor gets "The Incentive Layer" → Decentralized AI's moment The timing is perfect: - Subnets exploding from 100+ - Dynamic $TAO launched and Operational - Real products with real revenue - Institutional players entering (DCG/Yuma) When Wall Street's Barry Silbert is in YOUR documentary, you know the smart money sees what's coming. This doc will explain to millions why decentralized AI isn't just possible. It's INEVITABLE. $TAO #Bittensor #AI

🎬 MASSIVE $TAO NEWS: "The Incentive Layer" - First Bittensor Documentary drops October 2025 This isn't just another crypto doc. This is history being written. 👀 Watch the full trailer give it a like 👍 and follow Everτ τ, τ. Thanks to his incredible contributions to this vision: Featured legends: • Barry Silbert (DCG/Yuma) • Const (Bittensor founder) • Jon Durbin (Chutes/Rayon Labs) • The builders who are actually shipping The last time a major crypto project got this level of documentary treatment early... Well, check the ETH and BTC charts from those years. Why this matters: Netflix had "Banking on Bitcoin" → BTC went mainstream Ethereum had "The Infinite Machine" → Smart contracts normalized Now Bittensor gets "The Incentive Layer" → Decentralized AI's moment The timing is perfect: - Subnets exploding from 100+ - Dynamic $TAO launched and Operational - Real products with real revenue - Institutional players entering (DCG/Yuma) When Wall Street's Barry Silbert is in YOUR documentary, you know the smart money sees what's coming. This doc will explain to millions why decentralized AI isn't just possible. It's INEVITABLE. $TAO #Bittensor #AI

Andy ττ

14,770 views • 9 months ago

🚀 Exciting News $SHELL the Future of AI Agents and $TAO with the TTS Subnet on Bittensor! 🚀 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. They’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, MyShell’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, you’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? It’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 aren’t just teaming up for the tech; they’re here to transform our digital world, making AI agents a big part of our online lives. Imagine AI that doesn’t just follow orders but helps, creates, and learns with you. That’s the future they’re building. Hop on Board the AI Revolution This isn’t just tech talk; it’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 you’re a coder, a creator, or just curious, there’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; it’s about crafting a future where AI is part of everyone’s life, powered by the community, for the community. Let’s make it happen with $SHELL and $TAO. Share on YouTube:

🚀 Exciting News $SHELL the Future of AI Agents and $TAO with the TTS Subnet on Bittensor! 🚀 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. They’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, MyShell’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, you’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? It’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 aren’t just teaming up for the tech; they’re here to transform our digital world, making AI agents a big part of our online lives. Imagine AI that doesn’t just follow orders but helps, creates, and learns with you. That’s the future they’re building. Hop on Board the AI Revolution This isn’t just tech talk; it’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 you’re a coder, a creator, or just curious, there’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; it’s about crafting a future where AI is part of everyone’s life, powered by the community, for the community. Let’s make it happen with $SHELL and $TAO. Share on YouTube:

Andy ττ

10,823 views • 2 years ago

UPDATE ! NASDAQ: $DVLT is dropping a HUGE announcement ! They just put out a release saying it signed $750 million in tokenization contracts in Q1 2026, with about $77 million in associated fees tied to banking, IP licensing, token minting, and related services. The company said this supports its $200 million full-year 2026 revenue guidance. (Datavault AI Inc.) What makes this more serious is the broader setup around the company. DVLT has publicly highlighted growing institutional ownership from firms including Vanguard, State Street, and BlackRock, and third-party ownership pages also show Morgan Stanley among reported holders. Datavault’s own March 2026 release said Vanguard had grown to about 11.8 million shares, State Street to about 10.0 million shares, and BlackRock to about 4.1 million shares, based on public filings. (Datavault AI Inc.) On the partnership side, the company has announced work involving IBM, CLEAR, and NYIAX. Datavault said it joined IBM Partner Plus in March 2025, with IBM watsonx tied to its AI-driven monetization stack, and later said IBM committed 20,000 hours of solution-architect and AI-engineering support, which Datavault valued at $5 million. Datavault also announced a CLEAR integration for KYC and identity verification, and described NYIAX as a platform built on the Nasdaq financial framework, with a later definitive agreement to acquire NYIAX announced in March 2026. (Datavault AI Inc.) So the point is not just that DVLT released a big number. The point is that the company is trying to build around that number with institutional visibility, identity/KYC infrastructure, IBM-backed AI tooling, and NYIAX technology that Datavault has explicitly tied to Nasdaq-linked market infrastructure. That does not guarantee success, but it does make this more than a random headline. (Datavault AI Inc.) Disclaimer: This is not financial advice. Stocks can lose value, and you can lose money. We are sharing facts and data, but you should do your own homework and not rely solely on this information when making investment decisions. $NVDA $TSLA $PLTR $GOOG $AMC $GME

UPDATE ! NASDAQ: $DVLT is dropping a HUGE announcement ! They just put out a release saying it signed $750 million in tokenization contracts in Q1 2026, with about $77 million in associated fees tied to banking, IP licensing, token minting, and related services. The company said this supports its $200 million full-year 2026 revenue guidance. (Datavault AI Inc.) What makes this more serious is the broader setup around the company. DVLT has publicly highlighted growing institutional ownership from firms including Vanguard, State Street, and BlackRock, and third-party ownership pages also show Morgan Stanley among reported holders. Datavault’s own March 2026 release said Vanguard had grown to about 11.8 million shares, State Street to about 10.0 million shares, and BlackRock to about 4.1 million shares, based on public filings. (Datavault AI Inc.) On the partnership side, the company has announced work involving IBM, CLEAR, and NYIAX. Datavault said it joined IBM Partner Plus in March 2025, with IBM watsonx tied to its AI-driven monetization stack, and later said IBM committed 20,000 hours of solution-architect and AI-engineering support, which Datavault valued at $5 million. Datavault also announced a CLEAR integration for KYC and identity verification, and described NYIAX as a platform built on the Nasdaq financial framework, with a later definitive agreement to acquire NYIAX announced in March 2026. (Datavault AI Inc.) So the point is not just that DVLT released a big number. The point is that the company is trying to build around that number with institutional visibility, identity/KYC infrastructure, IBM-backed AI tooling, and NYIAX technology that Datavault has explicitly tied to Nasdaq-linked market infrastructure. That does not guarantee success, but it does make this more than a random headline. (Datavault AI Inc.) Disclaimer: This is not financial advice. Stocks can lose value, and you can lose money. We are sharing facts and data, but you should do your own homework and not rely solely on this information when making investment decisions. $NVDA $TSLA $PLTR $GOOG $AMC $GME

Victor Renard

6,004,760 views • 3 months ago

NASDAQ: $DVLT is dropping a HUGE announcement ! They just put out a release saying it signed $750 million in tokenization contracts in Q1 2026, with about $77 million in associated fees tied to banking, IP licensing, token minting, and related services. The company said this supports its $200 million full-year 2026 revenue guidance. (Datavault AI Inc.) What makes this more serious is the broader setup around the company. DVLT has publicly highlighted growing institutional ownership from firms including Vanguard, State Street, and BlackRock, and third-party ownership pages also show Morgan Stanley among reported holders. Datavault’s own March 2026 release said Vanguard had grown to about 11.8 million shares, State Street to about 10.0 million shares, and BlackRock to about 4.1 million shares, based on public filings. (Datavault AI Inc.) On the partnership side, the company has announced work involving IBM, CLEAR, and NYIAX. Datavault said it joined IBM Partner Plus in March 2025, with IBM watsonx tied to its AI-driven monetization stack, and later said IBM committed 20,000 hours of solution-architect and AI-engineering support, which Datavault valued at $5 million. Datavault also announced a CLEAR integration for KYC and identity verification, and described NYIAX as a platform built on the Nasdaq financial framework, with a later definitive agreement to acquire NYIAX announced in March 2026. (Datavault AI Inc.) So the point is not just that DVLT released a big number. The point is that the company is trying to build around that number with institutional visibility, identity/KYC infrastructure, IBM-backed AI tooling, and NYIAX technology that Datavault has explicitly tied to Nasdaq-linked market infrastructure. That does not guarantee success, but it does make this more than a random headline. (Datavault AI Inc.) Disclaimer: This is not financial advice. Stocks can lose value, and you can lose money. We are sharing facts and data, but you should do your own homework and not rely solely on this information when making investment decisions. $NVDA $TSLA $PLTR $GOOG $AMC $GME

NASDAQ: $DVLT is dropping a HUGE announcement ! They just put out a release saying it signed $750 million in tokenization contracts in Q1 2026, with about $77 million in associated fees tied to banking, IP licensing, token minting, and related services. The company said this supports its $200 million full-year 2026 revenue guidance. (Datavault AI Inc.) What makes this more serious is the broader setup around the company. DVLT has publicly highlighted growing institutional ownership from firms including Vanguard, State Street, and BlackRock, and third-party ownership pages also show Morgan Stanley among reported holders. Datavault’s own March 2026 release said Vanguard had grown to about 11.8 million shares, State Street to about 10.0 million shares, and BlackRock to about 4.1 million shares, based on public filings. (Datavault AI Inc.) On the partnership side, the company has announced work involving IBM, CLEAR, and NYIAX. Datavault said it joined IBM Partner Plus in March 2025, with IBM watsonx tied to its AI-driven monetization stack, and later said IBM committed 20,000 hours of solution-architect and AI-engineering support, which Datavault valued at $5 million. Datavault also announced a CLEAR integration for KYC and identity verification, and described NYIAX as a platform built on the Nasdaq financial framework, with a later definitive agreement to acquire NYIAX announced in March 2026. (Datavault AI Inc.) So the point is not just that DVLT released a big number. The point is that the company is trying to build around that number with institutional visibility, identity/KYC infrastructure, IBM-backed AI tooling, and NYIAX technology that Datavault has explicitly tied to Nasdaq-linked market infrastructure. That does not guarantee success, but it does make this more than a random headline. (Datavault AI Inc.) Disclaimer: This is not financial advice. Stocks can lose value, and you can lose money. We are sharing facts and data, but you should do your own homework and not rely solely on this information when making investment decisions. $NVDA $TSLA $PLTR $GOOG $AMC $GME

Victor Renard

17,602,505 views • 3 months ago

📢 NEURALAI X 🤩 NeuralAI is extraordinarily excited to reveal that we have started working closely with Akash Network, the world's premier decentralized compute marketplace! ✔️ The offerings of align perfectly with the vision and roadmap of NeuralAI, making this collaboration extremely significant for NeuralAI. For a start, NeuralAI will run inference on Akash based on our 3D #AI model and prepare TAO miners for reward-yielding subnets. NeuralAI will also leverage Akash's powerful GPUs to enhance our #AI #model training. Currently, provides us with 56 powerful A6000 GPUs, scalable on demand. ✔️ NeuralAI also gets highly competitive pricing from Akash Network, significantly lower than any other compute provider in the world. The lower pricing is possible partially thanks to the crypto-driven incentives within Akash Network, making it an excellent opportunity for NeuralAI to leverage. The synergy with Akash Network is a big leap forward, fueling our mission of becoming the #1 AI-driven 3D asset generator subnet on Bittensor. ✔️ We look forward to our close work with , we are certain with their support we will be able to secure a unique edge in the market! Stay tuned for exciting updates and developments.

📢 NEURALAI X 🤩 NeuralAI is extraordinarily excited to reveal that we have started working closely with Akash Network, the world's premier decentralized compute marketplace! ✔️ The offerings of align perfectly with the vision and roadmap of NeuralAI, making this collaboration extremely significant for NeuralAI. For a start, NeuralAI will run inference on Akash based on our 3D #AI model and prepare TAO miners for reward-yielding subnets. NeuralAI will also leverage Akash's powerful GPUs to enhance our #AI #model training. Currently, provides us with 56 powerful A6000 GPUs, scalable on demand. ✔️ NeuralAI also gets highly competitive pricing from Akash Network, significantly lower than any other compute provider in the world. The lower pricing is possible partially thanks to the crypto-driven incentives within Akash Network, making it an excellent opportunity for NeuralAI to leverage. The synergy with Akash Network is a big leap forward, fueling our mission of becoming the #1 AI-driven 3D asset generator subnet on Bittensor. ✔️ We look forward to our close work with , we are certain with their support we will be able to secure a unique edge in the market! Stay tuned for exciting updates and developments.

NeuralAI

241,223 views • 2 years ago

David from USD.AI on the institutional shift happening behind CHIP, why every borrower they have is institutional, and why the AI super cycle has had no real on-chain exposure until now: "We have personally beat out other investment banks in running deals that we've signed. They're starting to view us as a threat. One call we had, she ended it early: 'I think you're a competitor, I can't talk anymore.' We're just cheaper financing, even for the bigger deals. People think we only do small deals, but we're starting to get bigger and bigger. As we attract more capital, we have to deploy in bigger deals to keep up. All of our customers are institutional. There's not a single retail borrower. These chips are expensive: The minimum we lend against is H200s, clusters of eight, that's like 300k. We're working with many of the brand names in San Francisco that are actually in the AI sector. People appreciate the positioning of Chip; it's actually engaging with the AI economy. A lot of people claim to be AI. They're in their own version of AI that they think is AI. But then there's the OpenAIs of the world. There's the Cursors of the world. Real customers, with real backing, that have cash flows. That is what people in our space want exposure to. We just haven't had a good way to do it. There's a reason you can get a loan against an airplane or a Honda Civic, but not a GPU. And GPUs are going to be worth a lot more than cars or airplanes in the future." Clip from the Modern Market interview with David | www.usd.ai

The Modern Market Show

10,397 views • 2 months ago

A $10 MILLION DUMP JUST TESTED WHETHER BITTENSOR IS REAL OR NOT. THE NETWORK GAVE ITS ANSWER. Covenant AI walked. The biggest builder team in the ecosystem. The team behind the 72B parameter model that Jensen Huang praised on the All In podcast. They accused leadership of centralization. Said one person controls too much. Said changes were made without process. 37,000 TAO sold. Price crashed 25%. $650 million wiped. And then something happened that most people missed because they were too busy panic selling. The network kept running. Every subnet stayed active. 100+ subnets still live. AI training continued. New models started. Builders kept building. The team that built Covenant 72B left. But the model was trained in a decentralized way across 70+ independent contributors using home GPUs. The milestone belongs to the network, not the team. Grayscale didn't sell. They increased exposure. ETF conversations didn't stop. Jacob Steves proposed locked stake for governance transparency within days. This was BitTensor's first public crisis. The kind that either kills a project or proves it can't be killed. The network answered. It's still standing. $256 right now. If it reclaims $280, this was the healthiest shakeout in the project's history. If it doesn't, the bear case deepens. Either way, you now know something you didn't know last week. BitTensor can take a direct hit from its biggest contributor leaving and keep running without interruption. That's not nothing. That might be everything.

A $10 MILLION DUMP JUST TESTED WHETHER BITTENSOR IS REAL OR NOT. THE NETWORK GAVE ITS ANSWER. Covenant AI walked. The biggest builder team in the ecosystem. The team behind the 72B parameter model that Jensen Huang praised on the All In podcast. They accused leadership of centralization. Said one person controls too much. Said changes were made without process. 37,000 TAO sold. Price crashed 25%. $650 million wiped. And then something happened that most people missed because they were too busy panic selling. The network kept running. Every subnet stayed active. 100+ subnets still live. AI training continued. New models started. Builders kept building. The team that built Covenant 72B left. But the model was trained in a decentralized way across 70+ independent contributors using home GPUs. The milestone belongs to the network, not the team. Grayscale didn't sell. They increased exposure. ETF conversations didn't stop. Jacob Steves proposed locked stake for governance transparency within days. This was BitTensor's first public crisis. The kind that either kills a project or proves it can't be killed. The network answered. It's still standing. $256 right now. If it reclaims $280, this was the healthiest shakeout in the project's history. If it doesn't, the bear case deepens. Either way, you now know something you didn't know last week. BitTensor can take a direct hit from its biggest contributor leaving and keep running without interruption. That's not nothing. That might be everything.

Altcoin Buzz

23,317 views • 3 months ago

🌐 2026 Digital Asset Outlook | Dawn of the Institutional Era In our latest Genfinity interview with Grayscale Head of Product and Research Rayhaneh Sharif-Askary, the discussion focused on how digital assets are entering a structurally different phase of adoption. A core theme was the weakening relevance of the four-year cycle narrative. Historically, crypto drawdowns were driven by macro shocks, not an internal clock. China’s banking restrictions in 2014. Global tightening and regulatory pressure in 2018. Liquidity reversal, inflation, and systemic deleveraging in 2022. Crypto traded like other risk assets because it is a risk asset. What has changed is the market foundation. ETF access has opened the advisory and wealth management channel. Institutional-grade custody exists. Regulatory clarity is improving rather than constricting. As a result, the conversation has shifted from whether digital assets belong in portfolios to how exposure should be constructed. Bitcoin is increasingly viewed as a macro asset and store of value within that framework. Infrastructure protocols such as Chainlink were highlighted for solving a fundamental constraint. Blockchains cannot access real-world data on their own. Chainlink provides that connectivity layer, with visible on-chain usage, interoperability across networks, and integration with traditional financial infrastructure. For institutions, that translates into picks-and-shovels exposure tied to real economic activity. Solana was discussed from a usage-first perspective. High throughput, low and predictable costs, strong developer activity, growing stablecoin flows, and real transaction volume. From Grayscale’s viewpoint, Solana’s relevance shows up in how people actually use the network and in the demand coming from retail, wealth, and institutional channels, including ETF and staking products. Another clear signal of maturity is the decline of tribalism. As access becomes standardized through ETFs, exposure management replaces ecosystem loyalty. Investors are no longer choosing a single chain. They are allocating across stores of value, infrastructure layers, and income-producing assets within one asset class. The outlook discussed was bullish, but not speculative. Improving regulation. Broader access. Institutional demand. Yield through staking. Tokenization and infrastructure moving from concept to execution. This interview was not about timing markets. It was about recognizing that digital assets are no longer operating outside the financial system. They are being integrated into it. The institutional era of digital assets is upon us. Grayscale rayhaneh Full Interview:

🌐 2026 Digital Asset Outlook | Dawn of the Institutional Era In our latest Genfinity interview with Grayscale Head of Product and Research Rayhaneh Sharif-Askary, the discussion focused on how digital assets are entering a structurally different phase of adoption. A core theme was the weakening relevance of the four-year cycle narrative. Historically, crypto drawdowns were driven by macro shocks, not an internal clock. China’s banking restrictions in 2014. Global tightening and regulatory pressure in 2018. Liquidity reversal, inflation, and systemic deleveraging in 2022. Crypto traded like other risk assets because it is a risk asset. What has changed is the market foundation. ETF access has opened the advisory and wealth management channel. Institutional-grade custody exists. Regulatory clarity is improving rather than constricting. As a result, the conversation has shifted from whether digital assets belong in portfolios to how exposure should be constructed. Bitcoin is increasingly viewed as a macro asset and store of value within that framework. Infrastructure protocols such as Chainlink were highlighted for solving a fundamental constraint. Blockchains cannot access real-world data on their own. Chainlink provides that connectivity layer, with visible on-chain usage, interoperability across networks, and integration with traditional financial infrastructure. For institutions, that translates into picks-and-shovels exposure tied to real economic activity. Solana was discussed from a usage-first perspective. High throughput, low and predictable costs, strong developer activity, growing stablecoin flows, and real transaction volume. From Grayscale’s viewpoint, Solana’s relevance shows up in how people actually use the network and in the demand coming from retail, wealth, and institutional channels, including ETF and staking products. Another clear signal of maturity is the decline of tribalism. As access becomes standardized through ETFs, exposure management replaces ecosystem loyalty. Investors are no longer choosing a single chain. They are allocating across stores of value, infrastructure layers, and income-producing assets within one asset class. The outlook discussed was bullish, but not speculative. Improving regulation. Broader access. Institutional demand. Yield through staking. Tokenization and infrastructure moving from concept to execution. This interview was not about timing markets. It was about recognizing that digital assets are no longer operating outside the financial system. They are being integrated into it. The institutional era of digital assets is upon us. Grayscale rayhaneh Full Interview:

Generation Infinity

113,194 views • 6 months ago

🇭🇰 Consensus Hong Kong 2026: The Shift to Institutional Execution Last week in Hong Kong, one theme dominated every conversation: The RWA market has moved from experimentation to infrastructure. At Consensus Hong Kong , Brickken: • Presented at CoinDesk PitchFest • Spoke at the Real-World Asset Summit • Secured media coverage with Roxom TV , BitPinas , The Asian Banker , and The Crypto Times • Sponsored curated institutional events alongside TBV • Met with funds, issuers, and financial institutions actively deploying capital The most important takeaway? Demand is no longer driven by narratives. It is driven by compliance, liquidity design, and settlement architecture. Asia is positioning itself as a proving ground for regulated digital asset markets. • Infrastructure is ready. • Regulatory clarity is improving. • Capital is aligning. The next phase of tokenized finance will be defined by execution. And we are building for scale.

🇭🇰 Consensus Hong Kong 2026: The Shift to Institutional Execution Last week in Hong Kong, one theme dominated every conversation: The RWA market has moved from experimentation to infrastructure. At Consensus Hong Kong , Brickken: • Presented at CoinDesk PitchFest • Spoke at the Real-World Asset Summit • Secured media coverage with Roxom TV , BitPinas , The Asian Banker , and The Crypto Times • Sponsored curated institutional events alongside TBV • Met with funds, issuers, and financial institutions actively deploying capital The most important takeaway? Demand is no longer driven by narratives. It is driven by compliance, liquidity design, and settlement architecture. Asia is positioning itself as a proving ground for regulated digital asset markets. • Infrastructure is ready. • Regulatory clarity is improving. • Capital is aligning. The next phase of tokenized finance will be defined by execution. And we are building for scale.

Brickken

87,256 views • 5 months ago

Greg Brockman, President of OpenAI, said there is not enough compute in the world to satisfy AI demand, and OpenAI itself cannot launch products it has already built because it cannot find the infrastructure to run them (Save this). OpenAI is spending $50 billion on compute in 2026 alone and it still is not enough. That is the setup but here is the trade. Nebius is one of the most asymmetric infrastructure plays in public markets right now, and most people have never heard of it. Q1 2026 revenue came in at $399 million, up 684% year over year, with AI cloud revenue specifically growing 841% in a single quarter. The company entered 2026 with an exit ARR of $1.25 billion and is targeting $7 to $9 billion by year end, a number that would make it one of the fastest revenue ramps in the history of public infrastructure companies. The contracted backlog sits at $50 billion anchored by a $17.4 billion agreement with Microsoft through 2031 and a $27 billion five-year deal with Meta. They are decade-scale infrastructure commitments from the two largest enterprise AI spenders on earth, signed before the demand curve has even reached its steepest point. Nvidia took a direct equity stake in Nebius, one of only two neoclouds it has invested in alongside CoreWeave. That relationship is not just financial but rather means Nebius gets preferential access to GPU allocation at a moment when every lab and every hyperscaler is competing for the same constrained supply. Contracted power capacity now exceeds 3.5 gigawatts, with expansion plans targeting 5 to 6 GW by mid-2029. And power is the other binding constraint in AI infrastructure, you cannot build a data center without it and Nebius has already secured the capacity that competitors are still fighting to acquire. At full ramp, analysts project revenue in the $15 to $25 billion range by 2029, against a current market cap the contracted backlog alone already dwarfs. Come join Milk Road Pro and get our full Nebius deep-dive, the exact price levels we are watching, how we are sizing the position against the backlog and power capacity timeline, and our full AI thesis. link below!

Greg Brockman, President of OpenAI, said there is not enough compute in the world to satisfy AI demand, and OpenAI itself cannot launch products it has already built because it cannot find the infrastructure to run them (Save this). OpenAI is spending $50 billion on compute in 2026 alone and it still is not enough. That is the setup but here is the trade. Nebius is one of the most asymmetric infrastructure plays in public markets right now, and most people have never heard of it. Q1 2026 revenue came in at $399 million, up 684% year over year, with AI cloud revenue specifically growing 841% in a single quarter. The company entered 2026 with an exit ARR of $1.25 billion and is targeting $7 to $9 billion by year end, a number that would make it one of the fastest revenue ramps in the history of public infrastructure companies. The contracted backlog sits at $50 billion anchored by a $17.4 billion agreement with Microsoft through 2031 and a $27 billion five-year deal with Meta. They are decade-scale infrastructure commitments from the two largest enterprise AI spenders on earth, signed before the demand curve has even reached its steepest point. Nvidia took a direct equity stake in Nebius, one of only two neoclouds it has invested in alongside CoreWeave. That relationship is not just financial but rather means Nebius gets preferential access to GPU allocation at a moment when every lab and every hyperscaler is competing for the same constrained supply. Contracted power capacity now exceeds 3.5 gigawatts, with expansion plans targeting 5 to 6 GW by mid-2029. And power is the other binding constraint in AI infrastructure, you cannot build a data center without it and Nebius has already secured the capacity that competitors are still fighting to acquire. At full ramp, analysts project revenue in the $15 to $25 billion range by 2029, against a current market cap the contracted backlog alone already dwarfs. Come join Milk Road Pro and get our full Nebius deep-dive, the exact price levels we are watching, how we are sizing the position against the backlog and power capacity timeline, and our full AI thesis. link below!

Milk Road AI

14,578 views • 25 days 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.

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

27,019 views • 1 month ago