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Massive move from the Subnet 44 team 🔥 Score - Subnet 44 just secured a $300M partnership with a leading sports betting hedge fund They’ll be deploying that capital using $DKING's strategies starting next season I don’t hold any $DKING myself.. but this is what real world traction looks... show more

𝗗𝗥𝗘𝗔𝗗 𝗕𝗢𝗡𝗚𝗢

138,514 subscribers

11,375 Aufrufe • vor 1 Jahr •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

3 Kommentare

Profilbild von Ksian τ

Ksian τvor 1 Jahr

@webuildscore Huge. That’s the kind of move that pushes the whole Bittensor ecosystem forward.

Profilbild von Bullish Beessie - Crypto x AI

Bullish Beessie - Crypto x AIvor 1 Jahr

@webuildscore $DKING has been a great hold since the lows and the EV+ bets on football games are absolutely insane! In my years in crypto I haven't seen this level of utility! Made possible by $TAO

Profilbild von CryptoPablo

CryptoPablovor 1 Jahr

@webuildscore 🤝🏾

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“How do I choose where to stake? How do I choose my subnets?” Our CFO, Micheal Bunting, breaks down his views, pointing out what people might want to look out for: 🔎 A team’s longevity in Bittensor 🛠 Active development on the subnet 🌍 Real world subnet utility 📊 An economic strategy ⚖️ A team with a clear understanding of liquidity pools In other words, do your own research on the subnet landscape and see what perspectives form 💫 Join the conversation about #Bittensor and dTAO over on our Discord and Telegram 🗣️

Macrocosmos

10,812 Aufrufe • vor 1 Jahr

📸 Bittensor Exclusive | Subnet 44 Showcase Max Sebti of Score - Subnet 44 on how they're turning the world's passive camera systems into intelligent vision networks: • PwC France. Co-selling agreement. • 1B+ CCTV cameras. Almost all passive. • Model outperforms GPT, Gemini, and Grok. • Camera chat via Manako. No new hardware. • Backed by TaoWeave. Push into North America. On the necessity for decentralized AI: "The future is going to be scary if we let these guys just run everything." On battling AI hype vs. the power of Bittensor ($TAO): "There's a big difference between optimizing for a 15 second demo and running actual vision AI in the real world." Manako | Openτensor Foundaτion | PwC France | Max Full Interview:

📸 Bittensor Exclusive | Subnet 44 Showcase Max Sebti of Score - Subnet 44 on how they're turning the world's passive camera systems into intelligent vision networks: • PwC France. Co-selling agreement. • 1B+ CCTV cameras. Almost all passive. • Model outperforms GPT, Gemini, and Grok. • Camera chat via Manako. No new hardware. • Backed by TaoWeave. Push into North America. On the necessity for decentralized AI: "The future is going to be scary if we let these guys just run everything." On battling AI hype vs. the power of Bittensor ($TAO): "There's a big difference between optimizing for a 15 second demo and running actual vision AI in the real world." Manako | Openτensor Foundaτion | PwC France | Max Full Interview:

Generation Infinity

15,175 Aufrufe • vor 1 Monat

$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 Aufrufe • vor 1 Monat

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 Aufrufe • vor 5 Monaten

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 Aufrufe • vor 4 Monaten

Sat down with Bittensor co-founder Jacob Steeves (Const) for a deep dive into the state of Bittensor in 2026. We covered how Subnet 3 trained a 72B parameter model in a fully permissionless decentralized way, how subnets create markets for digital commodities like gradients and inference, the dynamic TAO tokenomics that lock emissions into subnet liquidity pools, and why open ownership of AI matters more than ever as centralized labs head toward trillion-dollar IPOs. 0:00 Intro: Bittensor Co-Founder Jacob Steeves 1:13 Jacob's Background, From Deep Learning to Crypto 4:45 Founding Bittensor: The Monetary Computer 7:58 How Subnets Work as Markets for Digital Commodities 11:18 Subnet 3: Decentralized Model Training 15:28 Permissionless Training at Internet Scale 18:52 Why This Matters: Open Source AI Ownership 25:53 Subnet Tour: Optimization, Inference, and Compute 29:55 Affine: Beating Qwen 30B via Market Incentives 34:26 TAO Tokenomics and Dynamic TAO 51:54 How Investors Participate: Just Buy TAO 54:05 Open Ownership vs Fiat AI

Sat down with Bittensor co-founder Jacob Steeves (Const) for a deep dive into the state of Bittensor in 2026. We covered how Subnet 3 trained a 72B parameter model in a fully permissionless decentralized way, how subnets create markets for digital commodities like gradients and inference, the dynamic TAO tokenomics that lock emissions into subnet liquidity pools, and why open ownership of AI matters more than ever as centralized labs head toward trillion-dollar IPOs. 0:00 Intro: Bittensor Co-Founder Jacob Steeves 1:13 Jacob's Background, From Deep Learning to Crypto 4:45 Founding Bittensor: The Monetary Computer 7:58 How Subnets Work as Markets for Digital Commodities 11:18 Subnet 3: Decentralized Model Training 15:28 Permissionless Training at Internet Scale 18:52 Why This Matters: Open Source AI Ownership 25:53 Subnet Tour: Optimization, Inference, and Compute 29:55 Affine: Beating Qwen 30B via Market Incentives 34:26 TAO Tokenomics and Dynamic TAO 51:54 How Investors Participate: Just Buy TAO 54:05 Open Ownership vs Fiat AI

VirtualBacon

42,057 Aufrufe • vor 4 Monaten

Bittensor $TAO 🚀 A major milestone for Bittensor! General TAO Ventures continues to build the infrastructure accelerating the global adoption of decentralized artificial intelligence. Bittensor subnet tokens are coming soon to base , through a strategic partnership between Chainlink , Base , and Aerodrome . 👉 $TAO holders will be able to stake and receive xALPHA tokens on Base, which can then be used in AerodromeFi pools to earn additional APY on their $TAO while accumulating alpha bags. This innovation brings Bittensor network liquidity to an unprecedented scale. Anyone with a Coinbase account and the Baseapp will soon be able to explore and interact with subnet tokens. Until now, accessing Bittensor required navigating through experimental tools and a complex wallet architecture. With Project Rubicon, that barrier is gone, retail investors can now join the decentralized AI revolution in just a few clicks. 🌐 A new era begins, one where Bittensor truly opens up to the world. General Tensor Contango Digital Assets mikecontango | τ,τ Joshua Field

Bittensor $TAO 🚀 A major milestone for Bittensor! General TAO Ventures continues to build the infrastructure accelerating the global adoption of decentralized artificial intelligence. Bittensor subnet tokens are coming soon to base , through a strategic partnership between Chainlink , Base , and Aerodrome . 👉 $TAO holders will be able to stake and receive xALPHA tokens on Base, which can then be used in AerodromeFi pools to earn additional APY on their $TAO while accumulating alpha bags. This innovation brings Bittensor network liquidity to an unprecedented scale. Anyone with a Coinbase account and the Baseapp will soon be able to explore and interact with subnet tokens. Until now, accessing Bittensor required navigating through experimental tools and a complex wallet architecture. With Project Rubicon, that barrier is gone, retail investors can now join the decentralized AI revolution in just a few clicks. 🌐 A new era begins, one where Bittensor truly opens up to the world. General Tensor Contango Digital Assets mikecontango | τ,τ Joshua Field

Punisher ττ

16,037 Aufrufe • vor 8 Monaten

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 Aufrufe • vor 1 Jahr

Barry Silbert just gave the clearest explanation of $TAO and Bittensor subnets anyone has ever delivered on a mainstream stage. He said it plain: $TAO powers a decentralized marketplace for intelligence. Anyone can launch a subnet, earn tokens, and monetize real ML work. Open and permissionless. The ultimate hedge against centralized AI. Then Tom Lee made it even simpler. Subnets are the S&P 500 of independent AI startups. Each one competing to deliver value. Each one with its own token. TAO coordinating the entire network underneath. Two sentences, that is the whole thesis. Most people have spent two years trying to explain Bittensor and nobody listened. Two legends made it obvious in under five minutes. This is still early.

Barry Silbert just gave the clearest explanation of $TAO and Bittensor subnets anyone has ever delivered on a mainstream stage. He said it plain: $TAO powers a decentralized marketplace for intelligence. Anyone can launch a subnet, earn tokens, and monetize real ML work. Open and permissionless. The ultimate hedge against centralized AI. Then Tom Lee made it even simpler. Subnets are the S&P 500 of independent AI startups. Each one competing to deliver value. Each one with its own token. TAO coordinating the entire network underneath. Two sentences, that is the whole thesis. Most people have spent two years trying to explain Bittensor and nobody listened. Two legends made it obvious in under five minutes. This is still early.

2xnmore

23,171 Aufrufe • vor 2 Monaten

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 Aufrufe • vor 3 Monaten

So.. here is what happened templar founder took offense to some actions made by #bittensor co-founder Konstantin Martynov He/they then made the decision to announce they are leaving the #Bittensor network In the process.. then made the incredible decision to dump 37,000 $TAO worth of subnet alpha tokens across Grail, Basilica and Templar A move that has completely destroyed the investments of everyone who followed and trusted these guys over the past few months/year Expecting anyone to follow you elsewhere after making such an incredibly irrational and dumb decision that screwed all your investors by nuking the token yourself.. good luck This, imo.. looks like a rug for max extraction Maybe that's wrong but that's exactly how it looks to me.. Its a massive fucking shame after Templar had the largest public exposure of any subnet to date, thanks to positive breakthroughs in pretraining I cannot express how disappointed I am in all this #Bittensor will grow stronger.. It always does $TAO

So.. here is what happened templar founder took offense to some actions made by #bittensor co-founder Konstantin Martynov He/they then made the decision to announce they are leaving the #Bittensor network In the process.. then made the incredible decision to dump 37,000 $TAO worth of subnet alpha tokens across Grail, Basilica and Templar A move that has completely destroyed the investments of everyone who followed and trusted these guys over the past few months/year Expecting anyone to follow you elsewhere after making such an incredibly irrational and dumb decision that screwed all your investors by nuking the token yourself.. good luck This, imo.. looks like a rug for max extraction Maybe that's wrong but that's exactly how it looks to me.. Its a massive fucking shame after Templar had the largest public exposure of any subnet to date, thanks to positive breakthroughs in pretraining I cannot express how disappointed I am in all this #Bittensor will grow stronger.. It always does $TAO

𝗗𝗥𝗘𝗔𝗗 𝗕𝗢𝗡𝗚𝗢

144,780 Aufrufe • vor 3 Monaten

This is what breaking limits looks like. 105 hours. No sleep. No shortcuts. Just purpose, passion, a team and a mic. Now officially Certified by Guinness World Records for the Longest Radio Talk Show in the World. From Uyo, Akwa Ibom to the World, this is a message to every dreamer: YOUR VOICE IS POWERFUL! WHAT A RUSH 🔥🔥🔥 #Whatarush #GuinnessWorldRecord #MightyGeorgeworldrecord

This is what breaking limits looks like. 105 hours. No sleep. No shortcuts. Just purpose, passion, a team and a mic. Now officially Certified by Guinness World Records for the Longest Radio Talk Show in the World. From Uyo, Akwa Ibom to the World, this is a message to every dreamer: YOUR VOICE IS POWERFUL! WHAT A RUSH 🔥🔥🔥 #Whatarush #GuinnessWorldRecord #MightyGeorgeworldrecord

Mighty George ™️

14,393 Aufrufe • vor 1 Jahr

I really want to show off the cutting edge tech the team is building and how we're turning AI image generation into real living environments using gaussian splats and at the :19 mark of this video you can see how we're blending splats together to create a real world. What this looks like from a gaming perspective is this all happens behind the players view to simulate a real world environment. As you move through the space, distance becomes a variable to consider on how images update and are experienced. We are creating a new reality in real time.

I really want to show off the cutting edge tech the team is building and how we're turning AI image generation into real living environments using gaussian splats and at the :19 mark of this video you can see how we're blending splats together to create a real world. What this looks like from a gaming perspective is this all happens behind the players view to simulate a real world environment. As you move through the space, distance becomes a variable to consider on how images update and are experienced. We are creating a new reality in real time.

𝔹𝕃𝕍ℂ𝕂𝕃!𝔾ℍ𝕋

25,084 Aufrufe • vor 1 Monat

NFINITY Studios Presents: ZIGChain $NFNT x $ZIG Premiered at the ZIGChain Summit 2025 in Dubai, this cinematic opening film marked the start of a powerful gathering, one that reminded us what crypto is really about: real people, real connection, real momentum. ZIGChain is building open blockchain infrastructure for the world. We brought that mission to life through storytelling: capturing the energy, ambition, and vision shared at the event. This wasn’t just a partnership. It was presence. And now, the world gets to see it. Watch now:

NFINITY Studios Presents: ZIGChain $NFNT x $ZIG Premiered at the ZIGChain Summit 2025 in Dubai, this cinematic opening film marked the start of a powerful gathering, one that reminded us what crypto is really about: real people, real connection, real momentum. ZIGChain is building open blockchain infrastructure for the world. We brought that mission to life through storytelling: capturing the energy, ambition, and vision shared at the event. This wasn’t just a partnership. It was presence. And now, the world gets to see it. Watch now:

NFINITY AI

10,566 Aufrufe • vor 1 Jahr

Bidded heavy on SN44. Score. $SCORE. Whilst most people don't even know how to buy SN's on $TAO, what they're building is what I think will be the first billion dollar subnet. They're building a permissionless computer vision layer that gives every camera in the world intelligence. Essentially, it is turning any camera into intelligent systems. You describe in plain English what you want to detect. Manako (their product layer running on SN44) handles the rest, instant alerts, insights, automated actions. No code. No model training. What they're doing isn't just plans and false promises or demo's. It's deployed, and already detecting: • Fire • Crime • Petrol stations activity • Forecourt activity • Crowd behaviour • Number plates • Sports matches (player tracking, ball, game, etc) This isn't just dummy tests, these guys already got huge partnership integrations with global companies & football clubs. 1. PwC France & Maghreb — Big Four firm integrating their enterprise advisory practice across retail, logistics, manufacturing, energy. 2. Reading FC — using to process match footage into coaching insights. 3. Major European petroleum company — monitoring thousands of automated gas stations. 4. Two-a-Day — one of Africa's largest fruit packers, scaling vision AI across production lines. Also won Paris Blockchain Week Start In Block 2026, beat 1,000+ startups in front of BNP Paribas, JPMorgan, Goldman, Morgan Stanley. What they're building is insane, every camera on earth becomes a node in an intelligence network priced in $TAO. Score - Subnet 44

Bidded heavy on SN44. Score. $SCORE. Whilst most people don't even know how to buy SN's on $TAO, what they're building is what I think will be the first billion dollar subnet. They're building a permissionless computer vision layer that gives every camera in the world intelligence. Essentially, it is turning any camera into intelligent systems. You describe in plain English what you want to detect. Manako (their product layer running on SN44) handles the rest, instant alerts, insights, automated actions. No code. No model training. What they're doing isn't just plans and false promises or demo's. It's deployed, and already detecting: • Fire • Crime • Petrol stations activity • Forecourt activity • Crowd behaviour • Number plates • Sports matches (player tracking, ball, game, etc) This isn't just dummy tests, these guys already got huge partnership integrations with global companies & football clubs. 1. PwC France & Maghreb — Big Four firm integrating their enterprise advisory practice across retail, logistics, manufacturing, energy. 2. Reading FC — using to process match footage into coaching insights. 3. Major European petroleum company — monitoring thousands of automated gas stations. 4. Two-a-Day — one of Africa's largest fruit packers, scaling vision AI across production lines. Also won Paris Blockchain Week Start In Block 2026, beat 1,000+ startups in front of BNP Paribas, JPMorgan, Goldman, Morgan Stanley. What they're building is insane, every camera on earth becomes a node in an intelligence network priced in $TAO. Score - Subnet 44

PEPE - “THE GOAT”

30,267 Aufrufe • vor 2 Monaten

THIS IS WHAT A REAL HERO LOOKS LIKE: Local legend catches a Muslim predator trying to corner a little girl and doesn't hesitate for a single second. He steps straight into danger and ensures the child is safe. Absolute legendary move in a world full of cowards. We need more real men like this protecting our streets. Huge respect 🔥✊

THIS IS WHAT A REAL HERO LOOKS LIKE: Local legend catches a Muslim predator trying to corner a little girl and doesn't hesitate for a single second. He steps straight into danger and ensures the child is safe. Absolute legendary move in a world full of cowards. We need more real men like this protecting our streets. Huge respect 🔥✊

Emilia

11,184 Aufrufe • vor 24 Tagen

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

137,896 Aufrufe • vor 2 Monaten

For anyone trying to understand Bittensor from first principles, this lecture is a useful place to start. Presented by Bittensor co-founder const. Learn Bittensor > Start with Bitcoin, distributed systems, incentives, > How Bitcoin leads to Bittensor Subnets coordinating AI infrastructure. Topics: // Start - Bitcoin as more than a digital currency // Risks of AI centralization + closed systems // "The incentive computer" // How Bittensor subnets work (mining, validating) // How distributed AI infrastructure could scale globally // Impact on students, builders & future founders Recorded at the National University of Singapore Computer Science Club. NUS Computing Chapters - Bitcoin, AI, and Bittensor - Bitcoin history and decentralization - AI changes how engineers work - The danger of centralized AI power - Why most crypto visions fail - Bitcoin as the world’s largest compute network - Bitcoin as a market for compute - The idea of an “incentive computer” - Bitcoin compared to Bittensor - Classroom example of decentralized scoring - A simple subnet example - SN62 :: Ridges AI | SN62 SWE agents - SN3 templar :: Distributed AI Training - SN52 lium.io :: GPU rentals on Bittensor 128 subnets, some examples Why this matters for the future of work Q&A Subnet examples mentioned @ SN64 - Serverless + TEE Compute :: Chutes SN8 - Prop firm Vanta Trading SN52 - AutoML :: Gradients SN62 - SWE agents :: Ridges AI | SN62 SN51 - Compute / GPU rental lium.io SN4 - TEE compute for enterprise :: Targon SN3 - 72B Distributed Training run :: templar SN41 - Prediction markets :: @almanac_market SN44 - Computer Vision Score - Subnet 44 SN68 - Drug discovery :: METANOVA SN18 - Weather Forecasting Zeus | SN 18 SN50 - Bitcoin prediction data :: Synthdata SN61 - Quantum computing :: qBitTensor Labs SN14 - Bitcoin mining pool :: TaoHash SN34 - Perp Dex :: 0xMarkets SN17 - 3D model generation :: 404 SN33 - Data analytics :: ReadyAI SN19 - [Since relaunched] RPC infrastructure :

For anyone trying to understand Bittensor from first principles, this lecture is a useful place to start. Presented by Bittensor co-founder const. Learn Bittensor > Start with Bitcoin, distributed systems, incentives, > How Bitcoin leads to Bittensor Subnets coordinating AI infrastructure. Topics: // Start - Bitcoin as more than a digital currency // Risks of AI centralization + closed systems // "The incentive computer" // How Bittensor subnets work (mining, validating) // How distributed AI infrastructure could scale globally // Impact on students, builders & future founders Recorded at the National University of Singapore Computer Science Club. NUS Computing Chapters - Bitcoin, AI, and Bittensor - Bitcoin history and decentralization - AI changes how engineers work - The danger of centralized AI power - Why most crypto visions fail - Bitcoin as the world’s largest compute network - Bitcoin as a market for compute - The idea of an “incentive computer” - Bitcoin compared to Bittensor - Classroom example of decentralized scoring - A simple subnet example - SN62 :: Ridges AI | SN62 SWE agents - SN3 templar :: Distributed AI Training - SN52 lium.io :: GPU rentals on Bittensor 128 subnets, some examples Why this matters for the future of work Q&A Subnet examples mentioned @ SN64 - Serverless + TEE Compute :: Chutes SN8 - Prop firm Vanta Trading SN52 - AutoML :: Gradients SN62 - SWE agents :: Ridges AI | SN62 SN51 - Compute / GPU rental lium.io SN4 - TEE compute for enterprise :: Targon SN3 - 72B Distributed Training run :: templar SN41 - Prediction markets :: @almanac_market SN44 - Computer Vision Score - Subnet 44 SN68 - Drug discovery :: METANOVA SN18 - Weather Forecasting Zeus | SN 18 SN50 - Bitcoin prediction data :: Synthdata SN61 - Quantum computing :: qBitTensor Labs SN14 - Bitcoin mining pool :: TaoHash SN34 - Perp Dex :: 0xMarkets SN17 - 3D model generation :: 404 SN33 - Data analytics :: ReadyAI SN19 - [Since relaunched] RPC infrastructure :

Openτensor Foundaτion

1,173,182 Aufrufe • vor 4 Monaten

What happens when real-world sports go on-chain?⛓️‍💥 $GCOIN becomes the bridge between live global events and real user activity. With our expansion into Sports & Esports, we’re bringing millions of real-time events into the ecosystem and with them, a massive increase in token utility. More participation. More demand. More reasons to hold and use $GCOIN 💎 This is how utility scales in real time. And another foundational step in our mission to bring the entire entertainment world on-chain, uniquely powered by $GCOIN.

What happens when real-world sports go on-chain?⛓️‍💥 $GCOIN becomes the bridge between live global events and real user activity. With our expansion into Sports & Esports, we’re bringing millions of real-time events into the ecosystem and with them, a massive increase in token utility. More participation. More demand. More reasons to hold and use $GCOIN 💎 This is how utility scales in real time. And another foundational step in our mission to bring the entire entertainment world on-chain, uniquely powered by $GCOIN.

Playnance

3,108,243 Aufrufe • vor 3 Monaten