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TensorFlow ττ

TensorFlow ττ

@Tensor_Flow_

Decentralized A.I | Community | Privacy ⚡

U.K Sumali Şubat 2021
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TensorFlow ττ
TensorFlow ττ@Tensor_Flow_·
youtube.com/watch?v=q4l-nD… Hope you like my video, there will be more to come which will hopefully help bring more eyes to our great ecosystem. Please like and subscribe and most importantly for me, share the video and give feedback so I can improve.
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bitstarter
bitstarter@bitstarterAI·
This time tomorrow 🔽 Join us right here on X ☑️All-new subnet team ☑️ Novel sector for Bittensor ☑️ Presenting live Link to our webapp below 💫
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Andy ττ
Andy ττ@bittingthembits·
🚨 This $TAO Bittensor subnet just surpassed its own target on live computer vision. And what they are building is going to be massive. @webuildscore @manakoai SN44 hit 87.7% accuracy on person detection. The target was 85%. The baseline was 37.6%. That is a +134% improvement driven entirely by miners competing against each other on a decentralized network. Look at the progress chart flat for days, then a vertical spike as miners cracked the problem. And they are just getting started. Score is not building one model. They are building programmable Vision AI a system where new visual tasks are added on demand, miners compete to solve them, and the results are served through a live console at console.scorevision.io. Person detection is task one. Sports player detection is already live at 56.9% and climbing toward a 76% target. Next week brings more tasks, more emissions, and the first private track live tests. Each new task follows the same pipeline: announced, starter pack released for miners, evaluation manifest auto-generated, test phase at 1% emissions, then scaled up to 10% based on complexity. An infinite loop of progress. One brick at a time, and then all at once. Now look at what sits on top of this. @manakoai is the product layer. And it is one of the most impressive things I have seen come out of the Bittensor ecosystem. You describe what you want to detect in plain language. Manako refines the task with you, asking clarifying questions and handling edge cases. Then it connects to your camera, security feed, webcam, drone, production line, and starts annotating in real time. No code required. No ML expertise needed. Define the outcome, deploy the agent, and let it run. The use cases span every industry that has cameras. Food and beverage. Hospitality. Maritime. Retail. Car wash. Sports venues. Construction. Fuel retail. Manako's claim is that businesses lose 10-15% of revenue due to operational latency being slow to react to problems. Their solution turns every existing camera into a live intelligence system that sees, understands, and responds instantly. The global computer vision market is projected to reach $41 billion by 2030. It touches manufacturing quality control, security and surveillance, retail analytics, autonomous vehicles, agriculture, healthcare imaging, sports analytics every industry where visual information drives decisions. And right now, the market is dominated by expensive proprietary solutions from companies like Cognex, Keyence, and cloud services from AWS and Google that charge premium rates and lock you into their ecosystem. Score is building the decentralized alternative. Miners compete to build the best vision models. The network improves every epoch. New visual tasks are added on demand as customer needs emerge. And Manako packages it into a product that any business can use without writing a single line of code. Here is what most people are missing about why this architecture wins. Traditional computer vision companies build one expensive, static model per use case siloed, slow, and overpriced. Score SN44 flips this way. One horizontal vision network. One shared pool of competing miners. Every new task (retail analytics, sports, construction, manufacturing) makes the entire system smarter and cheaper. No more one-off models. Continuous improvement. Dramatically lower costs through decentralization. "One use case at a time is dead." Already partnered with real enterprise customers in Africa and hitting 87.7% on person detection. Sports analytics live. Retail, construction, and maritime next. Every camera in the world is now a potential customer and the network gets smarter with every task. $TAO Just my take. (DYOR)
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Manako@manakoai

Ready to build?

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TensorFlow ττ
TensorFlow ττ@Tensor_Flow_·
@RvCrypto Sure does feel like we are at the growth/inflection point of the hockey stick with decentralized AI. Agents will bring the surging growth phase. SN97 and SN66 will be at the forefront of that growth imo.
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RVCrypto
RVCrypto@RvCrypto·
I didn’t fully grasp how fast things were moving, until I saw it with my own eyes. The rise of agents changed everything. OpenClaw is only a few months old, but the speed of progress is insane. Within weeks, agents were already mining $TAO subnets and generating profit. A few weeks later, the next step: Subnets being bought and autonomously operated by agents (so far SN97 and SN66 are confirmed buys for/by const his agents). That’s when it really clicked. This changes everything. Not just for Bittensor, but for how the world will operate.
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Punisher ττ
Punisher ττ@CryptoZPunisher·
@firehustle_net The Bittensor community loves people who love Bittensor, it’s a virtuous circle. Let’s not stop loving each other.
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Summer
Summer@firehustle_net·
Dear Bittensor community… I love you $TAO
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TensorFlow ττ
TensorFlow ττ@Tensor_Flow_·
Bittensor stands head and shoulders above anything else ever built on blockchain—it's not just another protocol; it's the most profound and transformative innovation in crypto since Bitcoin itself.
Andy ττ@bittingthembits

Bittensor and $TAO Let me explain the tokenomics of the asset I believe is the most asymmetrically designed in crypto history. Doing it with math. There will only ever be 21 million $TAO. Same hard cap as Bitcoin. Same halving schedule. Bitcoin proved scarcity works. But with an economic design Bitcoin could never have because Bitcoin has no demand engine built into its protocol $TAO does. Supply side, pure numbers: Right now, 10.76 million $TAO in circulation (51.26% of total supply). First halving already complete (Dec 2025). Block reward dropped from 1 $TAO to 0.5 $TAO per block. One block every 12 seconds = max 7,200 blocks/day = max 3,600 $TAO emitted per day. That’s it. Hard-coded. No votes, no foundation overrides. Next halving: Dec 2029 (0.25 $TAO/block). Then 2033 (0.125). Then 2037 (0.0625). Same asymptotic curve as Bitcoin decades to reach 21M. But here’s where everything diverges. Bitcoin’s new supply goes to miners who sell it to pay electricity bills. Constant structural sell pressure. Price only moves when external demand outruns that selling. $TAO’s new supply goes straight into subnet pools, and those pools create a built-in demand engine. Every block, the 0.5 $TAO is distributed across active subnets via Taoflow (net staking inflows). Subnets that attract more sustained $TAO staking get more emissions. Subnets bleeding $TAO (more unstaking than staking) get zero. The system self-corrects in real time. Capital flows to value. Value creates more emission. More emission attracts more capital. Now the alpha layer, this is where the design gets brilliant. Every subnet (100+ live) has its own alpha token + its own constant-product AMM pool (TAO on one side, alpha on the other). No external LPs. No Uniswap. The protocol IS the market. When you stake $TAO, you swap into the pool and receive alpha. Unstake, alpha and get $TAO back. Alpha price = TAO in pool ÷ alpha in pool. Every block up to 2 alpha emitted per subnet: 1 alpha_in = injected into the pool (maintains price stability) 1 alpha_out = split 18% owner / 41% miners(determined by Yuma Consensus)/ 41% validators & stakers This means: The ONLY way to earn emissions is to hold alpha. The ONLY way to get alpha is to stake $TAO. When you stake $TAO it becomes liquidity backing the alpha. Compounding mechanism most people still haven’t processed: 68.26% of all circulating $TAO is currently staked/delegated (7.35M locked in pools + validator stakes). Only 31.74% (3.4M) is free-floating on the open market. At current prices that’s roughly $795M liquid $TAO supporting a $2.52B market cap. But demand is accelerating from every direction: • Every new subnet creates another TAO-backed AMM pool • Every alpha is backed by $TAO liquidity • Every miner/validator/staker holding alpha locks more $TAO • Every agent consuming subnet commodities pays in $TAO • Every revenue-generating subnet (Chutes, Targon, Lium already $20M+ combined ARR) creates organic buy pressure • Institutional wrappers (Grayscale GTAO, Yuma funds, etc.) add more demand on the tiny float Halving math that should make you pause: Current: 0.5 $TAO/block 1.31M/year 2029 halving: 0.65M/year 2033: 0.325M/year Supply decelerates exponentially. Demand accelerates faster. Unlike Bitcoin (new supply faces constant miner selling + passive demand), $TAO emissions flow straight into 100+ subnet pools. Every alpha is backed by $TAO. Every agent pays in $TAO. Extra tightening: - Subnet registrations burn $TAO - Monthly renewals burn $TAO - Transaction fees burned - Alpha burns by subnet Taoflow uses EMA smoothing only sustained staking wins. Spikes get nothing. Full picture: - 68% supply already staked - 100+ pools absorbing $TAO - Revenue subnets creating real demand $TAO is the reserve currency of a permissionless intelligence economy: Bitcoin-level scarcity + built-in structural demand. Math is public. Verify it. $TAO DYOR

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TensorFlow ττ
TensorFlow ττ@Tensor_Flow_·
@bittingthembits Bittensor's architecture along with its consensus mechanism represent one of the most brilliant and innovative designs ever conceived.
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Andy ττ
Andy ττ@bittingthembits·
Bittensor and $TAO Let me explain the tokenomics of the asset I believe is the most asymmetrically designed in crypto history. Doing it with math. There will only ever be 21 million $TAO. Same hard cap as Bitcoin. Same halving schedule. Bitcoin proved scarcity works. But with an economic design Bitcoin could never have because Bitcoin has no demand engine built into its protocol $TAO does. Supply side, pure numbers: Right now, 10.76 million $TAO in circulation (51.26% of total supply). First halving already complete (Dec 2025). Block reward dropped from 1 $TAO to 0.5 $TAO per block. One block every 12 seconds = max 7,200 blocks/day = max 3,600 $TAO emitted per day. That’s it. Hard-coded. No votes, no foundation overrides. Next halving: Dec 2029 (0.25 $TAO/block). Then 2033 (0.125). Then 2037 (0.0625). Same asymptotic curve as Bitcoin decades to reach 21M. But here’s where everything diverges. Bitcoin’s new supply goes to miners who sell it to pay electricity bills. Constant structural sell pressure. Price only moves when external demand outruns that selling. $TAO’s new supply goes straight into subnet pools, and those pools create a built-in demand engine. Every block, the 0.5 $TAO is distributed across active subnets via Taoflow (net staking inflows). Subnets that attract more sustained $TAO staking get more emissions. Subnets bleeding $TAO (more unstaking than staking) get zero. The system self-corrects in real time. Capital flows to value. Value creates more emission. More emission attracts more capital. Now the alpha layer, this is where the design gets brilliant. Every subnet (100+ live) has its own alpha token + its own constant-product AMM pool (TAO on one side, alpha on the other). No external LPs. No Uniswap. The protocol IS the market. When you stake $TAO, you swap into the pool and receive alpha. Unstake, alpha and get $TAO back. Alpha price = TAO in pool ÷ alpha in pool. Every block up to 2 alpha emitted per subnet: 1 alpha_in = injected into the pool (maintains price stability) 1 alpha_out = split 18% owner / 41% miners(determined by Yuma Consensus)/ 41% validators & stakers This means: The ONLY way to earn emissions is to hold alpha. The ONLY way to get alpha is to stake $TAO. When you stake $TAO it becomes liquidity backing the alpha. Compounding mechanism most people still haven’t processed: 68.26% of all circulating $TAO is currently staked/delegated (7.35M locked in pools + validator stakes). Only 31.74% (3.4M) is free-floating on the open market. At current prices that’s roughly $795M liquid $TAO supporting a $2.52B market cap. But demand is accelerating from every direction: • Every new subnet creates another TAO-backed AMM pool • Every alpha is backed by $TAO liquidity • Every miner/validator/staker holding alpha locks more $TAO • Every agent consuming subnet commodities pays in $TAO • Every revenue-generating subnet (Chutes, Targon, Lium already $20M+ combined ARR) creates organic buy pressure • Institutional wrappers (Grayscale GTAO, Yuma funds, etc.) add more demand on the tiny float Halving math that should make you pause: Current: 0.5 $TAO/block 1.31M/year 2029 halving: 0.65M/year 2033: 0.325M/year Supply decelerates exponentially. Demand accelerates faster. Unlike Bitcoin (new supply faces constant miner selling + passive demand), $TAO emissions flow straight into 100+ subnet pools. Every alpha is backed by $TAO. Every agent pays in $TAO. Extra tightening: - Subnet registrations burn $TAO - Monthly renewals burn $TAO - Transaction fees burned - Alpha burns by subnet Taoflow uses EMA smoothing only sustained staking wins. Spikes get nothing. Full picture: - 68% supply already staked - 100+ pools absorbing $TAO - Revenue subnets creating real demand $TAO is the reserve currency of a permissionless intelligence economy: Bitcoin-level scarcity + built-in structural demand. Math is public. Verify it. $TAO DYOR
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Djinn
Djinn@djinn_gg·
Smart contract audits used to cost $50–100K and take 6 months for a PDF. ProveAudit: 100x cheaper. 100x faster. Decentralized and trustless on SN103. proveaudit.com (powered by Djinn / SN103) Try it
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Rob Greer
Rob Greer@rob_svrn·
we’re getting close to witnessing what could be the most violent tokenomic flywheel in the history of crypto $TAO an ETH ICO demand shock intersecting with a BTC halving supply shock during a hard takeoff with AI and the event horizon of singularity within view
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Jesus Martinez
Jesus Martinez@JesusMartinez·
Nvidia is worth $4.4 trillion. OpenAI just raised $110 billion in a single round. More than all of crypto VC since 2022. Combined. And the #1 AI blockchain is sitting at $2.3 billion. Nobody is paying attention. Bittensor just ripped 30% in a week. Not on hype. On a real technical milestone. A team on Subnet 3 just trained a 72 billion parameter language model. Fully decentralized. No central cluster. Anyone with GPUs could join. That's never been done before. Anywhere. Here's what most people are missing about Bittensor: • 21 million max supply. Same as Bitcoin. 4-year halving cycle. No pre-mine. • First halving already happened December 2025. Daily emissions cut 50%. • Grayscale filed for a TAO ETF (ticker: GTAO) on NYSE Arca. Bitwise is right behind them. • Founder stepped down February 2026. Fully headless protocol now. No CEO. • 129+ active subnets producing real AI products. Not roadmap promises. • Subnet market cap hit $822 million. Record 27% of TAO's total value. The subnets are what make this different from every other AI token. Chutes (Subnet 64) is the #1 inference provider on OpenRouter. Beating centralized players. 85% cheaper than AWS. First subnet to $100M market cap. Ridges (Subnet 62) builds autonomous coding agents. Outperformed Claude 4 on benchmarks. Backed by Stillcore Capital. $10K+ daily prize pool for miners. Bitcast (Subnet 93) is building a decentralized creator network. Brands pay for results. Creators earn TAO. No contracts. No middlemen. Up 50% this week alone. While most of crypto chases memecoins, capital is quietly rotating into AI. AI tokens led the entire market last week. +7% sector-wide. Bitcoin did 2.5%. The ETF filing is the part nobody is talking about. Think about what the Bitcoin ETF did. $42K to $73K in three months. TAO is at $2.3 billion market cap right now. Imagine institutional money pouring into that. AI is not a trend. It's the infrastructure of the next 20 years. And the largest AI blockchain is still early.
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Tuklasin

@webuildscore @manakoai @RvCrypto @CryptoZPunisher @firehustle_net @LouiseBeattie @MaxScore @bittingthembits