tao.bot (τ, τ)

🚀 TAO.BOT is Officially Live—Explore and Trade dTAO Subnet Tokens Now The wait is over. TAO.BOT is here, your gateway to the rapidly evolving decentralized intelligence economy of Bittensor. 🔵 Seamlessly Bridge to Bittensor $TAO Trade subnet tokens effortlessly, directly from Ethereum. No more complex setups or technical barriers—swap ETH and stablecoins into your favorite subnets in minutes. 📊 Discover the Best Subnets Explore detailed subnet pages, real-time data analytics, and unique insights into each subnet's performance. Make informed decisions to stay ahead in the emerging decentralized AI market. ⚙️ Advanced Trading Tools Smoothly enter and exit positions with TWAP orders, reducing slippage and optimizing your trades. 🌐 Decentralized AI is the Future—Claim Your Place Today The next era of AI-driven value creation has begun. $TAOBOT is your key to participating in the decentralized intelligence revolution. Trade, explore, and thrive now: 🔗 tao.bot

This is why we’re bullish on Bittensor $TAO. @TargonCompute is building a decentralized compute network where workloads stay protected at rest, in transit, and in use — even on hardware operated by anonymous providers. If decentralized AI is going to compete with centralized clouds, this is exactly the kind of infrastructure it needs.

⚙️ Subnet Spotlight — SN64 (@chutes_ai) Chutes is a decentralized, serverless AI compute platform built on Bittensor $TAO. It lets developers deploy, scale, and run open-source models in production without managing infrastructure, using a single API for inference, batch jobs, and custom deployments. What it does: - Serverless inference for open-source AI models, with hot models ready for scale and support for long-running jobs. - Trusted Execution Environments for private, verifiable AI compute. - Consumer and developer products like Chutes Search, Chutes Chat, and custom model deployment tooling. Why it matters: Chutes has become one of the clearest examples of real product-market fit on Bittensor: open-source AI infrastructure, production usage at scale, and a team that ships relentlessly, led by @jon_durbin. Trade & research subnets → tao.bot/explore

This is a massive milestone for Bittensor. A 72B model, trained permissionlessly over the internet on @tplr_ai (subnet 3), with performance competitive with centralized baselines like Meta’s LLaMA-2-70B and LLM360 K2. Achievements like this are why we’re so bullish on the network — real proof that decentralized AI coordination works.

📈 Bittensor $TAO Flow Leaders — Weekly Check-In Under TaoFlow, subnet emissions are driven by EMA-smoothed net $TAO flow. Sustained inflows help a subnet capture emissions, while sustained outflows push emissions toward zero until demand returns. Top weekly flow gainers (strongest inflows): Targon (SN4) — +τ4.64K weekly flow Confidential AI cloud + inference infrastructure focused on secure, high-performance model serving. iota (SN9) — +τ1.58K weekly flow A distributed pretraining subnet focused on large-scale model training across decentralized compute. Bitcast (SN93) — +τ1.45K weekly flow A decentralized creator-marketing subnet connecting brands with creators and rewarding content performance on-chain. NOVA (SN68) — +τ1.33K weekly flow A decentralized drug-discovery subnet from MetaNova Labs, built to crowdsource early-stage therapeutic screening. Data Universe (SN13) — +τ1.20K weekly flow Macrocosmos’ large-scale social data subnet, indexing and serving structured data from sources like X, Reddit, and YouTube. Trade & research subnets → tao.bot/explore

🔎 Bittensor $TAO subnet check-in: 5 standouts Chutes (SN64) — Serverless AI compute: deploy and run open-source models at scale without managing infrastructure. Affine (SN120) — Incentivized reinforcement-learning arena: miners compete to produce measurable model improvements across eval environments (reasoning/coding style tasks). Ridges (SN62) — Autonomous coding agents: an incentive market for software agents that solve real dev tasks (fixes, tests, implementations). τemplar (SN3) — Decentralized training: an internet-wide training framework that coordinates many independent compute nodes to collaboratively train models. Hippius (SN75) — Decentralized cloud storage: a Bittensor subnet focused on persistent, scalable file storage (buckets/credits), built to be a “missing piece” for decentralized AI infrastructure. Graphic: today’s Explore snapshot. Trade & research subnets → tao.bot/explore

⚙️ Subnet Spotlight — SN120 (Affine / Anima Machina) @affine_io is Bittensor’s reinforcement-learning subnet for improving “reasoning” over time — a competitive arena where miners ship better models and validators continuously benchmark them across evolving tasks. Built by Affine Foundation, led by Const (@const_reborn). What it does: - Runs RL/eval environments (coding + program abduction style tasks) and scores model progress - Incentivizes Pareto-frontier dominance (models that win across the full suite, not just one benchmark) - Hosts winning models on Chutes (SN64) for scalable inference and public access Why it matters: SN120 is less about one app, and more about turning reasoning improvements into a commodity — a “neural glue” layer that helps the broader Bittensor ecosystem converge on better models instead of fragmenting. Trade & research SN120 now → tao.bot/explore/subnet…

🧠 Root Claim — Keep of the Week (3 picks) If you’re in Keep mode, you’re choosing to hold your root rewards as subnet alpha instead of auto-swapping to $TAO at claim. That reduces the default “claim → sell alpha” flow and keeps you directly exposed to the subnets you believe in. This week’s 3 standouts (ranked by highest 7D net Flow — an on-chain demand signal showing where $TAO is consistently flowing into these markets via staking/buys): 1) @affine_io (SN120) - 7D Flow: +5.35K TAO | 1W: +14.41% | Emission: 8.87% - Why it matters: an incentivized RL/evaluation subnet pushing measurable model improvements through competition—often described as “connective tissue” for composable intelligence across the network. 2) @chutes_ai (SN64) - 7D Flow: +4.51K TAO | 1W: +5.44% | Emission: 10.69% - Why it matters: serverless AI compute—deploy and run open-source models at scale without managing infra (“run workloads, not clusters”). 3) @ridges_ai (SN62) - 7D Flow: +4.41K TAO | 1W: +20.45% | Emission: 0% (fluctuating) - Why it matters: building AI coding agents (software-engineering automation) and has been one of the most discussed “product-facing” subnets as Bittensor evolves from research to real applications. If you’re in Keep mode, these are the kinds of subnets you’re implicitly underwriting—alpha exposure plus avoiding the default auto-swap behavior at claim. Trade & research subnets → tao.bot/explore

📈 Bittensor $TAO Flow Leaders — Weekly Check-In Under TaoFlow, subnet emissions are driven by an EMA-smoothed net $TAO flow (staking in minus staking out). Sustained positive flow earns a larger share of emissions; sustained negative flow trends toward 0 emissions until it recovers. Top weekly flow gainers (strongest inflows): Chutes (SN64) — +τ7.05K weekly flow Serverless AI compute for deploying and running models at scale. Affine (SN120) — +τ6.19K weekly flow Incentivized RL / evaluation subnet focused on improving model performance. Score (SN44) — +τ3.84K weekly flow Decentralized computer vision + video analysis infrastructure. Targon (SN4) — +τ2.29K weekly flow Inference subnet focused on high-throughput, low-cost model serving. basilica (SN39) — +τ2.09K weekly flow Model inference + AI serving infrastructure, gaining sustained inflows this week. Weakest weekly flow (outflows): Safe Scan (SN76), DSparse (SN2), Bitsec.ai (SN60), 404-GEN (SN17), Synth (SN50). Under TaoFlow, sustained outflows matter: emissions follow net demand, not narratives. Trade & research subnets → tao.bot/explore

🔎 Bittensor $TAO subnet check-in: 5 standouts (by emission) @chutes_ai (SN64) — Serverless AI compute: deploy + scale models (or custom code) without managing infra. Think run workloads, not clusters. @affine_io (SN120) — An incentivized RL arena for “reasoning”: miners compete to make measurable improvements on tasks like coding / program synthesis, with outputs designed to compose across the wider subnet ecosystem. @VantaSN8 (SN8) — Decentralized proprietary trading network: crowdsources trading strategies and produces market signals, rewarding the best performers. @tplr_ai (SN3) — Distributed training at scale: GPUs worldwide collaborate to train shared models, with validators selecting top contributions each round. @IOTA_SN9 (SN9) — Frontier pretraining infrastructure: orchestrated, cooperative distributed training (data + pipeline parallel) built to work across heterogeneous, unreliable devices in a trustless setting. Graphic: today’s Explore snapshot. Trade & research subnets → tao.bot/explore

🛠️ Platform Update: Root Claim Modes are LIVE Bittensor $TAO users can now connect a TAO wallet on tao.bot and set their Root Claim Mode following the recent root-claim changes. Choose how your root staking rewards are handled: 🔵 Swap Convert earned subnet rewards (alpha) into $TAO at claim, then add it back to your root stake (auto-compound TAO). 🔵 Keep Keep your rewards as staked alpha on subnets instead of converting to $TAO. You can keep all subnets, or choose specific ones. Why Keep matters: it avoids the automatic “claim → swap to TAO” step for root dividends, reducing that mechanical sell flow on subnet tokens and letting you stay exposed to the subnets you want to support. Update is live now → tao.bot/trade/claim-di…

🧾 Bittensor $TAO Halving is Live The network just crossed its first major supply milestone: block rewards have reduced from 1 → 0.5 $TAO, cutting daily issuance from ~7,200 → 3,600 $TAO. A meaningful step for long-term network economics—scarcer emissions, tighter incentives, and an ecosystem that now has to compete harder for every TAO.

📊 Bittensor $TAO — 300-Day Network Check-In The dTAO upgrade went live 303 days ago, turning every subnet into a tradable token and routing emissions through markets instead of validator weighting. Subnets now compete for $TAO based on demand for their own alpha tokens. Since then, the network has shifted from a handful of core subnets to a full AI economy: - 129 active subnets across compute, data, AI agents, deepfake detection, and more - Combined subnet market cap ≈ $1.01B - TAO market cap ≈ $3.12B, with most supply staked securing the network On top of dTAO, TaoFlow and the upcoming halving tighten incentives even further: subnets need real inflows, usage, and liquidity to keep emissions, while total daily $TAO issuance is about to be cut in half. Roughly 300 days in, dTAO has turned Bittensor into a live market for intelligence—where capital, emissions, and attention follow the subnets that actually deliver. Trade and research subnets now → tao.bot

🧠 TAO Halving: 5 Things to Know (in ~5 days) 1️⃣ What is the $TAO halving? A programmed ~50% cut in block rewards. Daily emissions drop from 7,200 → 3,600 TAO, slowing how much new supply enters the network. 2️⃣ When is it happening? Estimated to land in ~5–6 days, around mid-December, based on current emission progress and community trackers. 3️⃣ Does it change max supply? No. Max supply remains 21M TAO—the halving only changes the rate at which new TAO is minted. 4️⃣ How does it affect subnets? Less fresh TAO flows into subnet rewards and liquidity. Under TaoFlow, emissions follow net TAO inflows, so subnets that consistently attract stake and usage are better positioned than those living off old momentum. 5️⃣ What does it mean for stakers and validators? Over time, the same stake competes for fewer emissions. Validator performance, fee structure, and subnet selection matter more as rewards compress. We’ll share more once the halving lands and its effects start to show on-chain.

🧭 Looking Ahead: Decentralized Validators on Bittensor In the latest OpenDev Weekly Summary, Bittensor developers outlined the path to decentralized validators on a Polkadot-style nPoS system: - Spring 2026 target for the proof-of-stake transition - Implementation already complete and tested with community validators - Awaiting governance finalization and validator incentive mechanism design Today, blocks are still produced centrally, but under nPoS the network will be secured by a distributed validator set backed by stake—similar to how Polkadot handles validator selection and rewards. That’s a major shift in where trust and economic weight sit in the Bittensor stack. On our side, the tao.bot validator has grown into the largest on the network, with 787,215 $TAO staked to it. We’ve been focused on both operating at scale on-chain and building out our liquid staking stack in parallel, with this next phase of decentralization in mind. Our long-term vision is straightforward: 🔵 Build the best LST and subnet liquidity infrastructure on Bittensor 🔵 Pair it with top-tier validator performance as nPoS turns validation into a true on-chain commodity 🔵 Ultimately route protocol value back through the $TAOBOT ecosystem as these pieces come online The next phase of Bittensor is about decentralizing who secures the network. We plan to be at the center of that shift.

🧠 TaoFlow: 1 Month In On Nov 4, Bittensor switched to TaoFlow—a new emissions model that stops rewarding “old price momentum” and instead pays subnets based on net $TAO inflows (stake in minus stake out, smoothed by an EMA). Subnets with sustained positive flow earn emissions; those with negative flow get zero until they turn inflows back on. Under the old system, emissions followed alpha token prices, which could keep heavily pumped, low-usage subnets funded long after real demand was gone. TaoFlow flipped this: emissions now follow where TAO is actually moving today, not where it moved months ago. Over the last 30 days we’ve seen: High-flow subnets burn thousands of TAO worth of their own supply to stay competitive and increase scarcity - Chutes (SN64): 4,204 TAO burned - lium.io (SN51): 4,202 TAO burned - Vanta (SN8): 2,545 TAO burned - “Ghost town” subnets with persistent outflows trend toward 0 emissions - Rotations toward subnets with real usage, not just narratives The net effect: 🔸 Meritocracy: TAO flows to subnets that can attract and retain stake 🔸 Healthier emissions: less support for idle capital, more for active products and real users 🔸 Deflationary pressure: burns reduce circulating alpha, and TaoFlow amplifies subnets that are willing to sacrifice supply for long-term value With Bittensor’s first halving around the corner, TaoFlow sets the stage for a market where utility, revenue, and sustained demand matter more than ever. Trade and research subnets now → tao.bot

🔄 ETH Gateway Decommission — Reminder It’s been 25 days since we began the decommission phase for our ETH entry gateway. If you still have funds on the portal, you can choose any of the following options: 🔸 Withdraw normally 🔸 Withdraw directly to a Bittensor wallet 🔸 Do nothing → we’ll convert your balance to $TAO and airdrop LST at launch We’re getting closer to the release of our liquid staking tokens, and this decommission phase is an important step toward that transition. If you’re affected, please check your balance and choose the path that fits you best. Read the decommission guide → docs.tao.bot/eth-gateway-de…

⚙️ Subnet Spotlight — SN51 (lium.io) Celium (Subnet 51) brings decentralized GPU compute to Bittensor $TAO. Built by @fish_datura, it connects GPU providers with developers through a permissionless marketplace for AI training and inference—think “cloud compute without the middleman.” What it does - Rent high-performance GPUs directly from miners, pay in stablecoins or $TAO - Miners earn based on uptime and performance, verified through Bittensor’s incentive layer - Competes with traditional cloud providers and DePIN projects like io.net, but with true decentralization Recent highlights - Listed on MEXC, expanding global access to subnet tokens - Referral program rewarding GPU providers, over $5K paid out - Receives ~6.2 % of total $TAO emissions for miners and validators As AI compute demand scales, SN51 is positioning itself as a core infrastructure layer for decentralized intelligence on Bittensor. Trade and research SN51 now → tao.bot/explore/subnet…

🔍 Bittensor $TAO Halving Countdown — ~22 days Estimated for Dec 13, the first TAO halving will cut daily emissions from ~7,200 → ~3,600 tokens. What this means: - Fewer new tokens enter circulation → increased scarcity - Subnets and validators will receive less TAO reward for the same effort - Emerging subnets may face higher competition and thinner liquidity - Established subnets may have an edge thanks to built-up reserves Take time to review how this may affect your TAO strategy, staking, and subnet exposure. Trade today at: tao.bot

🧩 $TAOBOT Validator Snapshot 🔵 Rank: #1 by stake (~765,000 $TAO) 🔵 Dominance: 13.37% 🔵 Fee: 0% Our validator has been running on the Bittensor network since earlier this year. We've seen a lot of growth since then and are proud to have supported everyone’s stake along the way. Bittensor is one of the most powerful incentive-alignment engines in crypto — a decentralized protocol where performance and value rise together. Thank you for staking with us. See more at: tao.bot

📊 Bittensor $TAO — Top 5 Subnet Check-in Chutes (SN64) — Serverless AI compute to deploy and scale models without managing infra. @chutes_ai Ridges (SN62) — Autonomous coding agents that fix bugs, write tests, and ship code. @ridges_ai lium.io (SN51) — Decentralized GPU rental marketplace with a simple web UI/SDK. @lium_io Targon (SN4) — Confidential-compute AI cloud; verifiable inference on secure hardware. @TargonCompute Proprietary Trading Network (SN8) — ML-driven strategies for a decentralized prop-trading marketplace. @taoshiio 🔎 Trade and research subnets now: tao.bot