Decentralized AI: what Bittensor (TAO) is and how it works
How Bittensor pays for machine intelligence: subnets, miners and validators, Yuma Consensus, TAO's halvings, Dynamic TAO, and the open questions critics raise.

On this page
- Key takeaways
- The idea: a market for machine intelligence
- Subnets, miners and validators
- How rewards are decided: Yuma Consensus
- TAO's supply: 21 million and halvings
- Dynamic TAO: letting the market value subnets
- Criticisms and risks
- Where Bittensor sits in decentralized AI
- Frequently asked questions
- Sources
Most of the AI people use today is built inside a few large companies, on their hardware and under their rules. Bittensor tries the opposite: an open network where anyone can contribute machine-learning work and be paid in a token, TAO, according to how useful other participants judge that work to be.
This guide explains how that works: the subnets where the work happens, the miners and validators inside them, the consensus that decides rewards, TAO's supply schedule and the 2025 overhaul called Dynamic TAO. It also covers the main criticisms. Everything is described as of September 29, 2026, and nothing here is about price.
Key takeaways
- Bittensor is a blockchain that pays for work done off-chain, such as serving AI models, storing data or making predictions, inside more than 120 specialized markets called subnets.
- In each subnet, miners do the work and validators score it. Yuma Consensus turns stake-weighted scores into rewards: 41% to miners, 41% to validators and their stakers, 18% to the subnet's owner.
- TAO is capped at 21 million. The first halving, in December 2025, cut new issuance from 1 to 0.5 TAO per 12-second block.
- Since Dynamic TAO launched in February 2025, every subnet has its own token, and demand for that token decides how much new TAO the subnet receives.
- Stake and rewards are concentrated, useful work is hard to measure, the tokens are volatile, and the rules change often.
The idea: a market for machine intelligence
Bittensor's whitepaper, published under the pseudonym Yuma Rao, proposes "a market where intelligence is priced by other intelligence systems peer-to-peer across the internet". Instead of one company deciding which model is best, participants score each other, and the scores decide who gets paid.
Bitcoin makes a useful comparison. It pays miners for one narrow, easily checked job: securing its ledger with computing power. Bittensor wants to pay for jobs that are far harder to define, such as answering questions well, and lets each market define its own job.
The blockchain itself, called Subtensor, runs no AI. Built with Substrate, the toolkit behind Polkadot, it produces a block every 12 seconds, records who takes part, collects the scores and issues TAO. The work happens off-chain, on participants' own machines.
Subnets, miners and validators
A subnet is an independent market with its own number (its "netuid") and its own rules. More than 120 were running in mid-2026, each built around a different kind of digital work.

Every subnet has four parts:
- An owner, who registered the subnet and wrote its incentive mechanism: what counts as good work and how it is tested.
- Miners, who do the work. A subnet has 256 slots by default, and a newcomer can push out the lowest-ranked miner once that miner's protection period is over.
- Validators, who test the miners and record scores on-chain, called "weights". By default only the 128 participants with the most stake behind them hold a validator permit.
- A pool pairing TAO with the subnet's own token, called alpha.
Anyone holding TAO can stake it with a validator and share that validator's rewards, minus a commission. A special subnet, number 0 or "root", has no miners at all: it is where TAO is staked directly.
Mind map: Bittensor
- Subtensor chain
- Records who takes part
- Issues TAO
- Subnets
- Owner writes the rules
- Miners do the work
- Validators score miners
- Stakers
- Back validators
- Share their rewards
How rewards are decided: Yuma Consensus
Every tempo, 360 blocks or about 72 minutes by default, the chain gathers the validators' weights and runs Yuma Consensus. The whitepaper describes the goal as resisting collusion by up to half of the network's weight.
For each miner, the chain finds the highest score that validators holding at least half of the stake support: a stake-weighted median. Any score above that level is cut down to it, so a validator that wildly over-rates a friend's miner simply has the excess ignored. Each miner's share of the miners' rewards is the stake-weighted sum of these trimmed scores.
Validators are paid through "bonds", which grow when they back miners the consensus rates highly, so those who spot good miners early earn the most. To stop lazy validators from copying others' weights, subnets can switch on "commit-reveal", in its current form since December 2024: weights stay encrypted for several tempos, so a copier only sees stale data.
- Miners do the work (inference, storage, predictions)
- Validators score them (weights recorded on-chain)
- Yuma Consensus runs (every 360 blocks by default)
- Scores are trimmed (to the stake-weighted median)
- Rewards are paid (41% miners, 41% validators, 18% owner)
TAO's supply: 21 million and halvings
TAO borrows Bitcoin's monetary design. There will never be more than 21 million TAO, and issuance halves each time half of the remaining supply has been issued: at 10.5 million TAO, then 15.75 million, then 18.375 million. Until the first halving the chain minted 1 TAO per block, about 7,200 a day.
The trigger is the amount issued, not a block number. Registration and transaction fees are "recycled": subtracted from the issued total so they can be minted again. That pushes each halving back and makes its exact date impossible to predict.
The first halving came in December 2025, when 10.5 million TAO had been issued. Since then the chain has minted 0.5 TAO per block, roughly 3,600 a day. At that pace the next halving, at 15.75 million, comes about four years after the first, and recycling will push it later. Each subnet's alpha token follows its own version of the curve, with its own 21 million cap.
Source: Bittensor documentation and Taostats
| TAO | |
|---|---|
| Until 10.5M issued | 1 |
| From 10.5M | 0.5 |
| From 15.75M | 0.25 |
| From 18.375M | 0.125 |
Dynamic TAO: letting the market value subnets
Until February 2025, each subnet's share of new TAO was set by validators' votes, weighted by the TAO staked with them. The Dynamic TAO (dTAO) whitepaper argued that validators could not seriously evaluate a growing number of subnets, and called the old arrangement an "apathetic oligarchic voting system".
dTAO, which went live that February, gave every subnet an alpha token and a pool holding TAO and alpha. Staking TAO into a subnet now means swapping it for that subnet's alpha at the pool's price, and unstaking swaps it back. One subnet's alpha is not interchangeable with another's.
Each block's new TAO is divided among subnets according to demand for their tokens, but the measure of demand keeps changing. From November 2025, shares followed staking flows: TAO moving into each subnet minus TAO moving out. In June 2026 the network returned to prices, using a moving average of each alpha token's price. Since an upgrade in late July 2026, an "emission gate" also sharply cuts what subnets below a demand bar receive; the bar currently sits around the 32nd-ranked subnet.
The TAO a subnet earns goes into its pool, while newly minted alpha is paid to its owner, miners, validators and stakers in the 18/41/41 split.
Staking into a subnet is a swap: you hold that subnet's alpha instead of TAO, and its value in TAO can fall as well as rise. Moving a large amount through a small pool also shifts its price.
- : The chain is halted after stolen keys drain wallets
- : Commit-reveal 3.0 hides validators' weights
- : Dynamic TAO gives every subnet its own token
- : Subnet rewards start following staking flows
- : First halving: 1 to 0.5 TAO per block
- : Rewards return to a price-based rule
- : An emission gate cuts rewards below a demand bar
Criticisms and risks
Concentration
Influence in Bittensor follows stake: validator permits go to the biggest stakeholders, and their scores count in proportion to stake. Rewards are concentrated too. By the developers' own model, the July 2026 gate raised the top eight subnets' share of emissions from about a third to more than half.
Control has been concentrated in emergencies as well. In July 2024, an attacker used a malicious version of the bittensor software package to steal about 32,000 TAO from users. The Opentensor Foundation, which led development, stopped the theft by putting validators behind a firewall in "safe mode", halting transactions. That protected users, but showed that a small group could pause the chain.
Measuring quality
Each subnet's owner decides how work is tested, and miners optimize for whatever the test rewards, which is not always the same as being useful. Weight copying shows that validators, too, can be tempted to follow the crowd instead of testing.
Market-based rewards have their own blind spot: token demand reflects what holders expect as much as what a subnet delivers. Explaining the July 2026 gate, the developers wrote that under the previous rule "a subnet nobody uses still collects a slice of every block".
Volatility and change
TAO and alpha tokens can swing sharply, and a small subnet's pool can be shallow, so large stakes or withdrawals move its price. The rules move too: the way subnets are paid changed three times between November 2025 and July 2026, and each change shifted rewards between subnets.
Where Bittensor sits in decentralized AI
"Decentralized AI" covers several different bets. Some projects rent out computing power, others coordinate the training of a single model across many machines, and Bittensor pays for results.
| Approach | Focus | Example |
|---|---|---|
| Compute marketplaces | Renting out GPU time | Akash Network |
| Distributed training | Training one model on many machines | Prime Intellect's INTELLECT-1 (2024) |
| Incentive networks | Paying for outputs that others score | Bittensor subnets |
Bittensor's distinctive choice is to price outputs rather than hardware, and to run many such markets under one token. That makes it flexible, since a subnet can reward almost any digital work, but it puts all the weight on how well each subnet measures what it pays for.
Frequently asked questions
Is Bittensor an AI model?
No. It is a blockchain that coordinates and pays for AI work. The models run off-chain inside subnets, on hardware their miners operate.
What is the difference between TAO and alpha?
TAO is the network's own coin, used for fees, staking and rewards everywhere on Bittensor. Each alpha token belongs to one subnet and trades against TAO in that subnet's pool, so one subnet's alpha is not worth the same as another's.
When is the next halving?
When 15.75 million TAO have been issued. Because recycled fees are subtracted from that total, nobody can give an exact date; at today's 3,600 TAO a day, it is roughly four years after the December 2025 halving.
What does a Bittensor address look like?
Bittensor uses the SS58 format, and every Bittensor address starts with "5". Our guide to networks and address formats shows how to tell it apart from other chains' addresses.
Sources
- Bittensor: A Peer-to-Peer Intelligence Market (whitepaper)
- Bittensor: Dynamic TAO whitepaper
- Bittensor Docs: The network
- Bittensor Docs: Emissions
- Bittensor: The V440 upgrade, the emission gate
- Taostats: Halving
- Taostats: TAO emission
- Taostats: Commit Reveal 3.0
- The Block: Bittensor identifies vulnerability behind $8 million exploit in post-mortem
- Prime Intellect: INTELLECT-1 release, the first globally trained 10B parameter model
- Akash Network: Decentralized compute marketplace


