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🚀 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/
🧠 Bittensor $TAO update: Etao
Bittensor just introduced a major change to how subnet economics work.
Until now, subnet alpha emissions followed essentially the same fixed split:
- 18% → owner
- 41% → validators
- 41% → miners
Etao — “Expressive TAO” — lets each subnet owner choose how that emission is divided.
1️⃣ Subnets can design around their own economics
A compute-heavy subnet can direct more emission toward miners.
A subnet that depends on expensive evaluation can allocate more toward validators.
An owner can even reduce their own share to 0%.
2️⃣ Root stakers remain protected
Changing a subnet’s validator share does not let the owner reduce Root’s baseline payout.
The chain calculates Root’s baseline share independently every block and pays it from the validator allocation before alpha validators receive the remainder.
3️⃣ There are still guardrails
- miners must receive at least 33%
- owner share is capped at 33%
- validators can receive at most 50%
- validator allocation must remain above Root’s live baseline
Owners can update the split roughly once every 7 days.
4️⃣ Total subnet emission does not change
Etao changes how a subnet distributes its alpha — not the amount of emission the subnet receives.
It also does not directly change pool liquidity, subnet price, chain buys, or the global TAO weight.
The bigger idea is simple:
Bittensor subnets no longer have to share one economic model.
Compute markets, training networks, evaluation systems, and other digital commodities can now tune incentives around what their own markets actually need.
That makes subnet design considerably more expressive.
Trade & research subnets → tao.bot/explore
Read the full Etao release breakdown here:
bittensor.com/releases/etao
🧭 TAO.BOT Basket Explorer is live
With Root Basket Trading now active on Bittensor, validator strategy is becoming much more important.
The new Basket Explorer makes that activity visible in one place.
Users can now:
- compare basket weights across Root validators
- see validator exposure to each subnet through a heatmap
- filter by validator, subnet, and minimum weight
- track every basket swap on-chain
- see the TAO value and allocation changes behind each trade
- monitor aggregate basket NAV, swap activity, and volume
As validators begin actively managing subnet exposure, understanding where they allocate — and how those allocations change over time — becomes another important part of evaluating validator performance.
The goal is to make TAO.BOT the easiest place to analyze that layer of Bittensor.
Explore validator baskets → tao.bot/root
🧠 Bittensor $TAO update: Root Basket Trading
Bittensor has taken another major step in how Root validators operate.
Root Reborn introduced validator beta baskets. Now, validators can actively manage those baskets by trading between subnet positions on-chain.
Here’s what changes:
1️⃣ Weights are replaced by actual trades
`set_root_weights` has been removed.
Root dividends now remain invested in the subnet where they were earned. If a validator wants to change its exposure, it has to actually sell one basket holding and buy another.
2️⃣ Validators can rotate across subnets — or into TAO
A basket trade sells alpha from one subnet into TAO, then uses that TAO to purchase another subnet.
Netuid 0 can also be used as a cash position, allowing part of the basket to remain in TAO.
3️⃣ Validator strategy now directly affects basket performance
Stakers still own the same proportional share of the validator’s basket.
What changes is the underlying portfolio — and over time, its NAV.
This makes validator selection increasingly about more than APY, fees, and stake. Basket composition, trading strategy, and realized performance now matter too.
4️⃣ Trading has protocol-level guardrails
Basket trades are constrained by price bands, daily turnover limits, liquidity caps, concentration limits, dedicated proxy permissions, and governance freeze controls.
The broader progression is becoming clear:
- Root Reborn created validator baskets.
- Curated Beta introduced validator allocation.
- Basket Trading turns those baskets into actively managed on-chain strategies.
As Root continues to evolve, understanding how validators allocate capital — and how those decisions perform — becomes increasingly important.
Explore Bittensor validators → tao.bot/validators
🛠 TAO.BOT — Major Platform Update
A lot has changed across tao.bot over the last few weeks.
We’ve shipped updates across trading, subnet research, the block explorer, validator tooling, mobile, and general reliability / quality of life.
Here’s what’s new:
1️⃣ Trading rebuilt
The Trade page has been rebuilt with new source + destination selectors across TAO, subnet tokens, and validators.
Trades now have a full execution flow showing:
Submitted → In Block → Finalized
You can close the modal mid-trade and a persistent card in the header will continue tracking it.
We also added pair-specific slippage presets, quote-expired states, high price-impact warnings, and rebuilt the wallet sidebar.
2️⃣ Subnet pages significantly expanded
Every subnet now has a deeper research interface with a collapsible stats sidebar, integrated swap panel, and dedicated tabs for:
- Trading — price chart from 1H → ALL, live transactions + type filters, liquidity
- Tokenomics — supply, emissions, and alpha burn
- Metagraph — UID-level stake, trust, incentive, and emission
- Validators — validator table + historical APY
- Miners — incentive + emission by UID
- Holders — top holders + coldkey distribution
- Weights — validator × miner weight matrix
- Conviction — lock history, unlock schedule + individual positions
- Registration — registration cost, metrics + every registration event
The goal is to make each subnet page a complete place to understand both its market and its underlying network.
3️⃣ Full Bittensor explorer
TAO.BOT now has dedicated explorer pages for:
- Blocks
- Extrinsics
- Events
- Transfers
- Swaps
- Accounts
Individual extrinsics have full technical detail pages, while account pages now show balances, transfers, stakes, and coldkey swaps.
We’ve also added Sudo history, runtime upgrade history, and direct account links anywhere a coldkey or hotkey appears across the platform.
4️⃣ Better charts + tables
Charts now have:
- redesigned crosshairs
- latest-value pills
- fullscreen mode
- instant hover interaction
Tables now preserve page, page size, and sorting directly in the URL, every column header has a tooltip, and column visibility is easier to control.
5️⃣ Explore + Validator improvements
Bubble map and heatmap views received a number of visual and interaction fixes, Explore stat cards were simplified, market-cap precision was improved, and inactive subnet filtering now accounts for whether a subnet has called `start_call`.
Validator pages also received layout fixes, a redesigned subnet selector, and Validators now has its own dropdown in the main navigation.
6️⃣ Mobile + QOL
- rebuilt mobile navigation drawer
- bottom drawers for table filters + page size
- tables now scroll cleanly inside their frame
- animated block-number ticker
- fixed tiny-price-change NaN% states
- new 404 page
- dozens of smaller reliability and UI fixes throughout the platform
The broader goal remains the same: make tao.bot the best interface for researching, analyzing, and interacting with the Bittensor ecosystem.
A lot more is coming.
→ tao.bot
🧠 Bittensor $TAO upgrade: Root Reborn is live
Bittensor’s root validator layer has changed.
Instead of root dividends remaining in the previous claim system, each validator now directs them into a validator-curated beta basket — a compounding fund containing subnet alpha and, optionally, root TAO.
Here’s how it works:
1️⃣ Validators set the allocation
Each root validator chooses how its basket is distributed across the subnet economy through its Root weight vector.
2️⃣ Dividends are reinvested
Root dividends are converted into TAO and redeployed according to the validator’s allocation. The resulting positions are held in escrow, staked, and able to compound over time.
3️⃣ Stakers accrue basket shares
Root stakers earn shares in their validator’s basket based on their root stake. New shares are minted at the basket’s current NAV, preventing later stakers from diluting previously accumulated value.
4️⃣ Claims redeem the full basket
When a staker claims, their proportional share of every basket holding is redeemed into TAO and returned to Root.
5️⃣ Validator strategy becomes transparent
New on-chain views expose basket NAV, holdings, validator allocation weights, and the TAO owed to individual stakers.
The main change is that root validators are no longer differentiated only by fees, stake, and headline yield.
Their subnet allocation strategy — and the performance of the basket built around it — now matters too.
Root Reborn connects root staking more directly to the subnet economy and turns validators into active on-chain capital allocators.
Explore Bittensor validators → tao.bot/validators
Quick clarification on the post above:
Root Reborn’s basket and claiming infrastructure is now live, but validator curation is not enabled yet.
Root validators cannot currently set allocation weights — the on-chain toggle remains off, so every validator is running the same null strategy and dividends accrue in the subnet where they were earned.
For Root stakers, yield continues to accrue automatically, but it is no longer auto-claimed. Accrued dividends must now be claimed manually.
We’ll share another update when validator weight-setting is enabled.
🧠 Bittensor $TAO upgrade watch: The Emission Gate
A major change to Bittensor’s subnet emission structure has been merged for Spec 440.
Today, subnet emissions are distributed approximately in proportion to moving price. The new system keeps price-based emissions, but passes each subnet’s share through a dynamic threshold known as the Emission Gate.
With the current network distribution, that threshold lands roughly around the 32nd-ranked subnet by moving price.
1️⃣ Above the bar
Subnets comfortably above the threshold retain nearly all of their pre-gate weight and receive a larger share once emission is redistributed from the tail.
2️⃣ At the bar
The gate passes approximately half of a subnet’s original emission weight before the final distribution is normalized.
3️⃣ Below the bar
Emission falls increasingly quickly toward zero. No subnet is hard-zeroed, but deep-tail subnets receive substantially less.
Using the current Finney snapshot:
- Emission going to the top 8 rises from 32.8% → 52.7%
- Emission going to the 94 subnets below the bar falls from 38.4% → 12.5%
- Effective subnet count falls from roughly 50 → 22
- Subnets hard-zeroed remains 0
The threshold is dynamic—not permanently fixed at rank 32. It moves with the distribution of demand across the subnet market.
The goal is to reduce the passive yield attached to inactive subnet slots. A slot should represent an opportunity to compete for demand, not a guaranteed stream of emission simply for existing.
This also clears a path toward eventually expanding the subnet limit without continuously diluting the network’s strongest subnets. The move to 256 has not happened yet and remains pending a full review of chain bloat.
Spec 440 has been merged, but the upgrade is not live until the on-chain runtime moves to version 440.
Charts and comments shown were shared by Const in the #rao channel of the Bittensor Discord.
Track the subnet market → tao.bot/explore
Read the full Spec 440 release notes here:
bittensor.com/releases/v440-…
🧠 Bittensor $TAO upgrade check-in: Chain Buys
One of the biggest market-structure changes introduced in Spec 423 is now live: part of a subnet’s TAO emission can be used to buy its alpha directly from the pool.
Previously, subnet emissions were primarily added as price-neutral TAO + alpha liquidity. The new mechanism caps how much alpha can be injected based on the subnet’s root proportion.
When the alpha required for a neutral injection exceeds that cap, the chain injects less liquidity and uses the remaining TAO to market buy the subnet token.
1️⃣ Emission allocation comes first
Each subnet receives a share of block emissions based mainly on its price EMA, adjusted by miner-burn mechanics.
2️⃣ Root proportion limits alpha injection
As a subnet’s alpha issuance grows relative to its root-backed TAO, its root proportion falls and less newly minted alpha can be added to the pool.
3️⃣ Excess TAO becomes a chain buy
The TAO that can no longer be paired with injected alpha is swapped into the subnet token through its own AMM.
4️⃣ Mature subnets transition first
Older subnets with greater alpha issuance and lower root proportion should see more of their allocation shift from liquidity injection toward chain buys.
This does not mean every subnet’s full emission is market bought. Chain buys only use the excess TAO created when the injection cap binds.
The result is a gradual transition from protocol-owned liquidity creation toward protocol-driven demand for mature subnet tokens.
Track chain buys and subnet emissions → tao.bot/explore
🔎 Bittensor $TAO subnet check-in: top 5 by market cap
@chutes_ai (SN64) — remains the market cap leader and one of the clearest examples of real product-market fit on Bittensor. Chutes provides decentralized, serverless compute for deploying and running open-source AI models at scale. Its latest technical milestone was fully non-blocking decentralized training on a recurrent model, reported within 0.6% of centralized quality — pushing SN64 further beyond inference and into distributed training.
@TargonCompute (SN4) — confidential AI compute on decentralized hardware. Targon’s stack allows teams to run sensitive training and deployment workloads using hardware-backed privacy. Its recent Tower Pro launch extends that model into user-owned compute, letting owners run private workloads and contribute idle capacity back into the Targon network.
@lium_io (SN51) — a decentralized GPU rental marketplace connecting independent hardware providers with users running training, inference, and other compute-heavy workloads. Its move into the top 3 reinforces how strongly the subnet market continues to value direct access to GPU infrastructure.
@affine_io (SN120) — an incentivized reinforcement-learning environment where miners compete to make measurable improvements to AI models across tasks like coding and program abduction. Affine is one of the clearest attempts to turn model improvement into an open, competitive market.
@webuildscore (SN44) — decentralized computer vision and enterprise physical AI. Score powers Manako, which turns existing camera systems into real-time operational intelligence through no-code vision agents. Recent product updates have pushed that infrastructure further toward practical enterprise deployments.
Across Chutes’ serverless platform, Targon’s confidential cloud, lium’s GPU marketplace, Affine’s RL environment, and Score’s enterprise vision AI, the top of Bittensor continues to concentrate around subnets building real infrastructure and products.
Trade & research subnets → tao.bot/explore
🧭 TAO.BOT Explore has been overhauled
The main Explore page has been redesigned to make it easier to track the Bittensor $TAO subnet market from one place.
The updated page now gives a cleaner view into:
- TAO price action
- subnet market cap
- subnet ecosystem value
- trading volume
- sortable subnet data
- favorites, search, and filtering
- alternate views like bubbles + heatmap
The goal is to make Explore feel like the default interface for following the subnet economy — whether you’re checking the market at a glance or digging into individual subnet activity.
Explore Bittensor → tao.bot/explore
📊 Bittensor $TAO analytics check-in: Flow vs Emissions
The recent emissions update changes how subnet rankings should be read.
For the last few months, flow was one of the most important signals because TaoFlow tied subnet emissions to net TAO movement.
That is no longer the full picture.
Bittensor has moved back toward price-based subnet emissions, where each subnet’s emission share is driven primarily by EMA price rather than raw flow.
This creates two different signals:
1️⃣ Flow leaders
Show where capital is moving right now.
A subnet with strong 1W flow is seeing recent demand, rotation, or accumulation.
2️⃣ Emission leaders
Show where the protocol is currently directing block emissions.
After the update, emissions are more closely tied to subnet price EMA and miner-burn mechanics than weekly flow alone.
3️⃣ Why the difference matters
A subnet can have strong weekly inflows without immediately becoming a top emission earner.
At the same time, a high-price-EMA subnet can remain near the top of emissions even if weekly flow cools.
4️⃣ What to watch now
Flow = short-term capital momentum
Emission = protocol reward share
Price EMA = core input into emissions
Miner burn = important modifier
The takeaway: flow is still useful, but it no longer tells the full emissions story by itself.
As Bittensor’s subnet markets become more advanced, understanding the difference between capital flow and protocol emissions becomes more important.
Trade & research subnets → tao.bot/explore
🧠 Bittensor $TAO upgrade check-in: Spec 423
Earlier this week, Bittensor’s Spec 423 upgrade went live, bringing several important Subtensor updates across emissions, subnet markets, tempo, conviction, governance, and developer-facing APIs.
The biggest market-structure change in this upgrade cycle is the move back toward price-based subnet emissions, introduced around Spec 421 and included in the broader Spec 423 release path.
Instead of emissions being driven by TaoFlow alone, subnet emission shares now use subnet price EMA across emit-enabled subnets. This makes subnet price a much more important signal again when tracking where emissions are flowing.
1️⃣ Price-based emissions
Subnet emissions are now tied to normalized subnet price EMA, with a root-proportion cap on alpha injection. Flow is still useful to watch, but it no longer tells the full emissions story by itself.
2️⃣ Advanced limit orders
Spec 423 adds native limit-order infrastructure for subnet AMM markets, including LimitBuy, TakeProfit, and StopLoss order types. This is another step toward subnet markets behaving more like real on-chain trading venues.
3️⃣ Configurable tempo
Subnet owners now have more control over epoch timing through configurable tempo and owner-triggered epochs. This gives subnet teams more flexibility around how their incentive markets operate.
4️⃣ Conviction improvements
The release also includes conviction-related fixes and improvements to timelocked commitments, continuing the push toward making long-term subnet alignment more visible on-chain.
5️⃣ Governance + API work
Spec 423 includes governance refactoring, signed voting work, and new runtime / read-only query improvements that make the chain easier to build around and index.
The main takeaway: Bittensor’s subnet economy is becoming more market-driven and more configurable.
Emissions, trading, epochs, commitment, and governance are all becoming more expressive at the protocol level.
Trade & research subnets → tao.bot/explore
📈 Bittensor $TAO Flow Leaders — Weekly Check-In
Top weekly net inflows:
iota (SN9) — +τ1.93K
iota leads this week’s flow rankings. Built by @MacrocosmosAI, SN9 is focused on decentralized pretraining through IOTA: an architecture for coordinating training across heterogeneous, permissionless compute.
@redteam (SN61) — +τ987.73
RedTeam is a cybersecurity-focused subnet built around competitive security challenges and adversarial evaluation. Its move into the top weekly flow leaders shows growing attention around security-oriented subnets on Bittensor.
@lium_io (SN51) — +τ786.40
lium.io continues to see steady inflows as one of the network’s main decentralized GPU rental marketplaces, connecting compute providers with users who need GPUs for training, inference, and other workloads.
@bitsecai (SN60) — +τ464.30
Bitsec is building AI-powered security infrastructure for vulnerability detection across codebases and smart contracts. With more Bittensor teams shipping production software, security subnets are becoming increasingly relevant.
Unknown (SN16) — +τ441.03
SN16 is showing strong short-term inflow this week, though its current public branding is still unclear in the snapshot. Worth watching as capital rotates into smaller and less established subnets.
Under TaoFlow, sustained net $TAO inflows help subnets capture emissions, while sustained outflows reduce emissions over time.
Weekly flow remains one of the clearest ways to track where capital and attention are moving across Bittensor.
Trade & research subnets → tao.bot/explore
🧠 Bittensor $TAO upgrade watch: Root Reborn
A new Subtensor PR proposes one of the larger changes to Bittensor’s root validation structure so far.
Today, root dividends are effectively paid by auto-swapping subnet alpha back into TAO. This creates constant sell pressure on subnet assets.
Root Reborn changes that flow.
Instead of auto-selling root dividends, validators would set a subnet allocation vector on Root. Their root dividends would then be reinvested into a validator-curated basket of subnet alpha, staked back under the validator, and made redeemable to TAO by stakers on demand.
In practice, this turns root validators into active capital allocators.
1️⃣ Less automatic sell pressure
Root yield moves from auto-selling subnet alpha into TAO, toward reinvesting across selected subnets.
2️⃣ Validator allocation becomes more important
Validators would choose how root capital is distributed across the subnet economy.
3️⃣ Delegators get a new thing to evaluate
Validator selection may become less about just APY / fees, and more about how each validator allocates across Bittensor.
4️⃣ Better dashboard visibility
The PR adds views for validator basket NAV, staker owed TAO, validator basket breakdowns, and total network basket NAV — making root allocation easier to track.
This is not live on mainnet yet, and the PR is still under review.
But if implemented, Root Reborn would make Bittensor’s validator layer much more active, measurable, and important to the subnet economy.
Explore validators → tao.bot/validators
Read more about the proposed Subtensor PR here:
github.com/opentensor/subten…
🧠 Bittensor $TAO upgrade check-in: Conviction
Bittensor’s latest chain upgrade introduces Conviction — an on-chain locked-stake system for subnet alpha.
Coldkey holders can now lock alpha stake to a specific hotkey on a subnet. Over time, that locked stake builds a conviction score, creating a public signal of long-term commitment.
The goal is simple: make subnet alignment more visible.
1⃣ Long-term commitment becomes measurable
Subnet owners, large stakers, and community members can show commitment by locking alpha on-chain.
2⃣ Large exits become harder to hide
If someone wants to move away from a committed position, the lock has to move through a public decay process rather than being silently unwound.
3⃣ Subnet governance gets a new primitive
Conviction creates a measurable signal for which hotkeys have the strongest long-term backing within a subnet. Ownership transfers are not active yet, but this lays important groundwork for future subnet governance.
4⃣ Emissions are unchanged
Locking stake does not increase emissions directly. This is a transparency and governance layer — not an APY boost.
Conviction is an important step in making Bittensor’s subnet economy more legible.
More commitment moves on-chain.
More alignment becomes measurable.
More of the network becomes easier to analyze.
Trade & research subnets → tao.bot/explore
🧭 TAO.BOT Validator Explorer is now fully live
The first release made it easier to view validators across the Bittensor $TAO network and compare high-level network performance.
This update expands the page into a full validator analysis dashboard.
Users can now open individual validator profiles and analyze:
🔵performance across Root and subnets
🔵staking distribution
🔵delegator growth
🔵validator fees and yield
🔵active subnet coverage
🔵network allocation across Bittensor
As the network grows, the validator layer becomes more important, delegators need better tools to understand where stake is going, how validators are performing, and how each validator is positioned across the network.
The Validator Explorer is designed to be the one-stop interface for researching Bittensor validators.
Explore validators → tao.bot/validators
🔎 Bittensor $TAO subnet check-in: top 5 by market cap
@chutes_ai (SN64) — still the market cap leader. Chutes is Bittensor’s serverless AI compute layer for deploying and running open-source models at scale. Recent updates have focused on making the system more sustainable: improving revenue efficiency, pruning underused models, expanding compute supply, moving further toward TEE infrastructure, and exploring more efficient training through Parallax.
@TargonCompute (SN4) — confidential compute on decentralized hardware. Targon’s stack is built around TVM, Intel TDX, Intel Trust Authority, and NVIDIA Confidential Computing, with recent momentum from its Intel-linked whitepaper, Supply Portal launch, and real AI workloads being run through Targon compute.
@webuildscore (SN44) — decentralized computer vision and real-world evaluation. Score has moved into the top 3 as Manako, built by the Score team, pushes enterprise vision AI into production use cases. The recent PwC France / Manako alliance is one of the clearer enterprise-facing examples of a Bittensor subnet being taken to market.
@lium_io (SN51) — decentralized GPU rental marketplace. Lium connects GPU providers with users who need compute for training, inference, and other heavy workloads. Its position near the top shows how strongly the market continues to value raw GPU access as a core Bittensor primitive.
@affine_io (SN120) — incentivized RL and model improvement. Affine rewards miners for measurable improvements across reasoning and coding-style environments, with the goal of turning model improvement into an open, competitive market.
The top of Bittensor by market cap now spans inference, confidential compute, enterprise vision AI, GPU rentals, and reinforcement learning.
Capital is increasingly concentrating around subnets that look more like infrastructure than narratives.
Trade & research subnets → tao.bot/explore
