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When Barry Silbert and Jason Calacanis land on the same thesis in the same week, that is not two opinions. That is a signal forming in public. But read what Jason actually said, because most people will miss it. Open competition vetted by validators is not a slogan on...

25,726 просмотров • 1 месяц назад •via X (Twitter)

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

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23,995 просмотров • 1 месяц назад

James Altucher just launched an entire podcast dedicated to $TAO. He called it the TAO Pod. First episode: “Will Bittensor Be Bigger Than Bitcoin?” This is the man who called Bitcoin early. Called Ethereum early. Called crypto early when everyone thought he was insane. Here is what stopped me reading his piece: One subnet on Bittensor called Chutes is serving 150 billion language tokens per day. Not crypto tokens. Language tokens. The raw material that powers every LLM response from ChatGPT to Grok. 150 billion. Every 24 hours. Through a decentralised network most people have never heard of. That was July 2025. Since then, Chutes has recorded a 250x usage increase. Cumulative totals have crossed into the trillions. This is not a snapshot. This is a growth curve. And it is happening before mainstream awareness. Before the ETF. Before the institutional allocation cycle begins. Altucher’s comparison is the one worth sitting with: 1994 internet. Before the browser existed. Before anyone knew what email was. Before you could explain to your parents why any of it mattered. That is where he thinks Bittensor is right now. - Barry Silbert built an entire company around it. - Jason Calacanis put personal money in and called 200x. - Jensen Huang called it a modern Folding@Home on the All-In Podcast. - Grayscale filed a trust with the SEC. - PwC sent a partner to the Bittensor track in Paris. - James Altucher launched a dedicated podcast. These are not tourists. These are the people who were in the right rooms before every major shift in crypto and tech history. They are all pointing at the same thing. The people who read the docs always buy before the people who read the price.

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17,287 просмотров • 3 месяцев назад

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

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35,144 просмотров • 2 месяцев назад

$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.

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12,150 просмотров • 3 месяцев назад

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.

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148,575 просмотров • 3 месяцев назад

Most $SUI holders know the supply is capped at 10 billion. They have never read the mechanic that turns network growth into permanent scarcity. It is called the Storage Fund. It is the most important thing in the $SUI docs that almost nobody is talking about. Here is exactly how it works. Every time a transaction adds data to the Sui blockchain, the user pays a storage fee. That fee does not go to validators. It does not get burned and forgotten. It flows into the Storage Fund. A permanent pool of SUI that never fully depletes. The Fund stakes itself like any other holder and earns staking rewards. Those rewards get paid to validators to cover the cost of storing historical data that existed before they joined the network. This quietly solves the fatal flaw every other L1 eventually hits. New validators are forced to store years of old state they had zero part in creating. Most chains make that someone else's problem. That leads to centralization, rising costs, and eventual collapse of the validator set. Sui makes past users pay for it. Forever. The Fund spends only its returns. Never the principal. It is designed to outlast the network itself. Now connect the dots to price. Every new object created on chain generates storage fees. More fees means a bigger Fund. A bigger Fund means more SUI permanently locked away from circulation. Network growth does not just increase demand. It structurally reduces supply through the protocol itself. Most holders are pricing parallel execution, sub-second finality, and Move language safety. They have not started pricing the deflationary flywheel that turns real usage into permanent scarcity. That gap between what the docs actually engineered and what the market currently understands is where the multi-year thesis lives. The people who read the docs always buy before the people who read the price.

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12,744 просмотров • 3 месяцев назад

Someone just stole from 37,000 $TAO holders and walked away clean. Not because they broke a rule. Because no rule existed to stop them. That changes today. Here is what happened. Covenant AI ran one of the most watched subnets on Bittensor. On April 10, the founder sold their entire position and disappeared. No warning. No announcement. No on-chain signal. By the time holders found out, the price had already moved against them. This was not a hack. This was not a bug. This was a founder legally exiting into their own community with zero accountability. Bittensor just closed that door permanently. The Conviction upgrade is live on mainnet today. Every emission a subnet owner earns now locks automatically the moment it arrives. They cannot touch it immediately. If they want to exit they must submit a public unlock transaction on-chain. Visible to every single person on the network the second it is submitted. Then the clock starts. 30 days before 63% of their position becomes spendable. 90 days before 95% is accessible. You now have a month of warning before the first dollar of sell pressure hits. A silent exit is no longer possible. The founder has to tell you they are leaving before they can leave. And it goes further. Any holder can now lock their tokens toward a different address they believe would run the subnet better. The address with the most locked support behind it becomes eligible to take over entirely. Bad owners can be replaced by the community before they do damage. Before today, subnet investing had one risk nobody could price. The person running it could vanish overnight, and you would never see it coming. That risk has been removed from the equation. Skin in the game used to be a promise. Now, it is a number on a block explorer that every holder can verify in real time. The people who understand what accountable infrastructure means for the value of $TAO will not need to explain themselves later. This is still early.

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19,549 просмотров • 3 месяцев назад

Most $SUI holders know one thing about the token: total supply is capped at 10 billion. They have never read the mechanic that makes that cap matter. It is called the Storage Fund. And it is the most important thing in the $SUI tokenomics docs that nobody is talking about. Here is exactly how it works: Every time a transaction adds data to the Sui blockchain, the user pays a storage fee. That fee does not go to validators directly. It goes into the Storage Fund, a pool of SUI that never fully depletes. Here is where it gets interesting. The Storage Fund has its own stake in the network. It earns staking rewards the same way every other stakeholder does. Those rewards are then distributed to validators to compensate them for storing historical data. This solves a problem every other blockchain ignores: When a new validator joins Sui, they have to store all the historical data from transactions that happened before they existed. Why would a new validator pay to store someone else's old data? The Storage Fund pays them for it. Past users who created the storage requirements in the first place funded the pool. Future validators get compensated from that pool indefinitely. The fund pays out only the returns on its capital, never the principal. It cannot be drained. It is designed to survive forever. Now here is the part that directly connects to $SUI token value. The Sui docs state this explicitly: Deflation is a feature of Sui, not a bug. Here is why: Total supply is capped at 10 billion SUI. As network activity increases, more transactions are processed. More transactions mean more storage fees flowing into the Storage Fund. As the Storage Fund grows, it holds more SUI. More SUI held in the fund means less SUI in active circulation. Less circulating supply against the same or growing demand means the value of each SUI token increases. Network growth directly reduces circulating supply. That is not speculation. That is the economic model built into the protocol at the architecture level. One more detail worth knowing: If you delete data you stored on chain, you receive a partial refund of your original storage fees. The system charges for storage, rewards deletion, and compounds the fund's stake indefinitely. Most people holding $SUI today are pricing the speed narrative: The parallel transaction processing. The sub-second finality. The Move language safety. They have not started pricing the storage fund deflation mechanic. That gap between what the tokenomics actually does and what the market currently understands is where the long-term thesis lives. The people who read the docs always buy before the people who read the price.

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47,695 просмотров • 3 месяцев назад

Most $TAO holders staking right now are trusting the wrong validators. Not because they are careless. Because nobody explained what the numbers on the Validators page actually mean. There is a tool inside Taostats that shows you exactly which validators are genuinely working and which ones are collecting your emissions without contributing anything to the network. It is free. It is live. And almost nobody is using it correctly. Here is exactly how to read it. Step 1: Understand what Dominance actually measures. Dominance is not popularity. It is not a ranking of which validator is best. It describes a validator's Stake Weight as a percentage of all validator stake weights combined across the network. Stake Weight is calculated as: root stake multiplied by 0.18, plus all alpha staked across subnets converted into TAO. Root stake is deliberately discounted at 18 percent of its face value. Alpha stake carries the full weight. This means a validator with deep subnet-level staking is structurally more powerful than one sitting purely on root, even if their raw TAO numbers look similar on the surface. When you see a validator with rising Dominance over time, it is not just getting more popular. It is getting more alpha stake directed toward it across active subnets. That is a meaningful signal about where serious capital is moving inside the network. Step 2: Check the Take percentage before you delegate anything. Take is the percentage of emissions the validator keeps for itself. Everything above that number flows to you as a nominator. A validator with a 18 percent Take keeps 18 percent of the emissions their position generates and distributes the remainder to stakeholders. A validator with a 50 percent Take is keeping half of what your stake earns. Most people never look at this number before delegating. It is the first number you should check. A high Take is not automatically a red flag if the validator is genuinely performing well and contributing to the network. But a high Take combined with low VTrust in their subnet performance page is the exact combination that should make you move your stake immediately. Step 3: Open the Validator Performance page and find the VTrust score. This is the number most holders never see. VTrust measures how closely a validator's weight assignments align with the honest stake-weighted majority across the network inside each subnet they operate in. Validators are responsible for evaluating miner output and assigning scores. Those scores go into Yuma Consensus and determine which miners earn emissions. A validator doing genuine evaluation work will have weights that align closely with the honest consensus. High VTrust. Consistent emissions. Reliable nominator returns. A validator that is weight copying, meaning they are simply copying the Yuma consensus scores back onto themselves rather than doing real evaluation, will show a flagged return on Taostats. Their nom/24hr/1k TAO score appears in red. This is Taostats telling you directly: this validator is extracting value from the network without contributing to it. When you stake to a weight copying validator, you are funding a free rider. Step 4: Watch the 24hr Nominator Change column. This number moves fast and it tells you something before any other signal does. A validator losing nominators over consecutive days is a validator that informed stakers are quietly leaving. A validator gaining nominators rapidly while their VTrust is healthy is a validator attracting attention for the right reasons. The 24hr column is the on-chain version of sentiment before sentiment becomes a narrative on social media. Step 5: Check Active subnets alongside Total Weight. Active tells you the number of subnets where the validator has a parent or child hotkey running. A validator with high Total Weight but low Active subnets is concentrated. They are running a specific strategy in specific markets. A validator with broad Active coverage across many subnets is building a wider surface area for emissions and is more exposed to the overall network performance rather than any single subnet cycle. Neither is inherently better. But knowing which type of validator you are delegating to tells you what you are actually betting on when you stake. Step 6: Check the Weight Change column over time. Total Weight is a snapshot. Weight Change is momentum. A validator with stable or growing Total Weight over consecutive days is attracting net new stake consistently. A validator with declining Weight Change is losing stake faster than it is gaining it. Most people look at the current number. The people positioning correctly are watching which direction the number is moving and how fast. The difference between a good validator and a dangerous one is not obvious from the outside. It is not the name. It is not the size. It is the VTrust score, the Take percentage, the nominator trend, and whether Taostats is showing their return in red or not. Every one of those signals is sitting on the Validators page right now. Free. Live. Updated every block. The investors who read the data layer before the narrative layer will not need to explain their staking decisions later. Open Taostats tonight. You will want to find this post when you do.

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11,771 просмотров • 2 месяцев назад