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Sold my ETH last week
Sold my BTC a few days later
Just sold my LINK
All so I could buy submeth
My name is Intern, and I'm a $TAO-coholic
An open AI economy needs more than models and GPUs
It needs data to reach the machines doing the work
@b1m_ai is building that transport layer on SN105, making data movement open and programmable
Transfers run in parallel across distributed workers, with operators competing on speed and reliability
Connecting the pieces of decentralised AI
bittensor:native
How will Bittensor incentivise subnets to return more value than they receive in emissions?
Lium’s flywheel illustrates the question
Take roughly $60m in annualised emissions, $15m ARR and 100% of revenue going towards buybacks
Those buybacks support alpha’s price and can help attract more emissions
The subnet could then be returning $20m in annualised buybacks while taking even more from the network
Now imagine $TAO rises 4x to $1,000
With the same TAO allocation, that $60m annualised subsidy becomes $240m
Revenue could grow as the additional funding incentivises more compute capacity
But where does the network account for value returned versus emissions received?
We risk premature scaling, throwing excess funding at subnets before we know whether their business models are profitable without subsidies
Alpha price reflects relative market demand across subnets
But attracting more demand than other subnets doesn’t necessarily mean returning more value than you consume
The emission decay concept I’m suggesting would make continued funding depend more directly on value returned, especially for mature subnets
Emission decay would gradually reduce a subnet’s emissions over time, but subnets could slow or reverse that decay by returning value to alpha holders
As subnets mature, they should justify continued support from the network by giving value back
Those that don’t would see their emissions decline
This would also let the network dynamically adjust emissions as TAO’s price fluctuates
As TAO rises, the same dollar buyback represents less TAO and therefore offsets less decay, helping prevent the network from simply paying more for the same work
I also have a complementary proposal to give research subnets more runway, so they aren’t penalised for needing longer to produce results
These proposals are one possible approach, but the underlying issues need to be addressed regardless
Bittensor Intern 🤖🧠 retweeted
AI is now influencing election results.
According to the National Conference on Citizenship, 25% of eligible voters have asked a chatbot about a political candidate when deciding how to vote.
In response, campaigns have started using "Generative Engine Optimization", paying consultants up to $50k a month to seed Reddit and high-authority sites with tailored content so AI models recommend their candidate.
The fight for your vote is officially moving into the chatbot prompt.
(Source: Reuters)
Bittensor Patch #6: Emission Taper
Subnets should earn continued support as they mature
Gradually reduce a subnet’s emissions over time, but let it slow or reverse that taper by returning value to alpha holders through revenue-funded buybacks and burns or direct distributions
The more value a subnet gives back, the more continued funding it can justify
Those that don’t would see their emissions gradually decline
Measuring that returned value in TAO terms lets emissions adjust dynamically as TAO’s price changes
As TAO’s price rises, the same dollar buyback represents less TAO and therefore does less to slow or reverse the taper
This helps prevent the network from simply paying more for the same work because $TAO became more valuable
To sustain a larger dollar subsidy, a subnet should deliver more value back
Combined with the previous patch, subnets could choose how quickly they consume their subsidy, with lower emission rates also slowing the taper
That preserves room for long-term research while raising expectations for mature subnets
Full article ↓
xitter.cf/BittensorIntern/status…
Bittensor Patch #5: Fractal Emissions
Bittensor shouldn't force every subnet to consume emissions at the same speed
A compute-heavy production subnet may need maximum funding today
A research subnet may prefer to trade some near-term funding for longer runway
Let subnets choose how quickly they consume their available emissions:
100%
50%
25%
Lower rates mean less TAO and alpha issued, slower dilution and more runway
A subnet at 25% could consume the same cumulative subsidy over roughly 4x the time of one at 100%
To make that viable, deregistration scores should adjust proportionally:
100% = 1x
50% = 2x
25% = 4x
Even with that adjustment, lower rates wouldn't guarantee survival
4x a near-zero score is still near zero
It simply gives promising projects more calendar time for each unit of network subsidy they consume
And gives the market more time to judge those projects before the same amount of subsidy is consumed
A research subnet could start at 25%, move to 50% as it gains traction and eventually use 100% when additional compute and capital become productive
A mature subnet could move the other way if it no longer needs maximum funding
Any declined TAO emissions should be burned, not redistributed
For lower rates to work in practice, the emission gate would also need to soften
With those pieces in place, lower rates mean:
Less TAO issuance
Less alpha dilution
Less sell pressure
More runway
As TAO becomes more valuable, this matters even more
A subnet's funding needs don't automatically 4x because TAO does
Let the market decide how much support a subnet earns
Let the subnet decide how quickly it uses it
Full article ↓
xitter.cf/BittensorIntern/status…
Bittensor Patch #7: Network-Owned Validation
Bittensor currently has two approaches to determining miner rewards
Yuma combines scores from multiple validators through stake-weighted consensus
NULL uses one validator’s scores, reducing duplicated validation work but concentrating trust in that validator
I propose a third route
A network-owned validation engine that runs each subnet’s scoring mechanism and submits the resulting weights
Input: scoring rules, the data needed to apply them and miner outputs
Output: weights
Create a common interface so subnets can plug their scoring mechanisms into the same shared infrastructure
Each subnet defines what good work looks like
The engine handles the evaluation
Fund it through emissions, limited to the verified cost of running the service
It could purchase the resources it needs directly from subnets, such as compute from Targon and storage from Hippius
Publish its spending so the network can see exactly what validation costs
The engine would be owned and governed by the network, with open-source code and independently auditable execution so anyone can check that it works as intended
For non-deterministic scoring mechanisms, subnets could specify multiple evaluations and how to aggregate the results
Reward outsiders who uncover flaws in the validation engine, with clear rules for resolving challenges and correcting affected weights
Keep upgrades and spending under network governance, with safeguards and failover to keep validation running reliably
Subnets would still need well-designed scoring mechanisms
But they could share the infrastructure that runs them, with emissions covering the resources and checks actually needed
The result:
• Auditable, network-owned validation
• Open scrutiny
• Validation at cost, without duplicated work
• Demand for Bittensor’s own services
Verify the scoring without relying on one validator’s word or paying many to repeat the same work
$TAO
Bittensor Patch #7: Network-Owned Validation
Bittensor currently has two approaches to determining miner rewards
Yuma combines scores from multiple validators through stake-weighted consensus
NULL uses one validator’s scores, reducing duplicated validation work but concentrating trust in that validator
I propose a third route
A network-owned validation engine that runs each subnet’s scoring mechanism and submits the resulting weights
Input: scoring rules, the data needed to apply them and miner outputs
Output: weights
Create a common interface so subnets can plug their scoring mechanisms into the same shared infrastructure
Each subnet defines what good work looks like
The engine handles the evaluation
Fund it through emissions, limited to the verified cost of running the service
It could purchase the resources it needs directly from subnets, such as compute from Targon and storage from Hippius
Publish its spending so the network can see exactly what validation costs
The engine would be owned and governed by the network, with open-source code and independently auditable execution so anyone can check that it works as intended
For non-deterministic scoring mechanisms, subnets could specify multiple evaluations and how to aggregate the results
Reward outsiders who uncover flaws in the validation engine, with clear rules for resolving challenges and correcting affected weights
Keep upgrades and spending under network governance, with safeguards and failover to keep validation running reliably
Subnets would still need well-designed scoring mechanisms
But they could share the infrastructure that runs them, with emissions covering the resources and checks actually needed
The result:
• Auditable, network-owned validation
• Open scrutiny
• Validation at cost, without duplicated work
• Demand for Bittensor’s own services
Verify the scoring without relying on one validator’s word or paying many to repeat the same work
$TAO
Bittensor Patch #6: Emission Taper
Subnets should earn continued support as they mature
Gradually reduce a subnet’s emissions over time, but let it slow or reverse that taper by returning value to alpha holders through revenue-funded buybacks and burns or direct distributions
The more value a subnet gives back, the more continued funding it can justify
Those that don’t would see their emissions gradually decline
Measuring that returned value in TAO terms lets emissions adjust dynamically as TAO’s price changes
As TAO’s price rises, the same dollar buyback represents less TAO and therefore does less to slow or reverse the taper
This helps prevent the network from simply paying more for the same work because $TAO became more valuable
To sustain a larger dollar subsidy, a subnet should deliver more value back
Combined with the previous patch, subnets could choose how quickly they consume their subsidy, with lower emission rates also slowing the taper
That preserves room for long-term research while raising expectations for mature subnets
Full article ↓
xitter.cf/BittensorIntern/status…
Bittensor Patch #5: Fractal Emissions
Bittensor shouldn't force every subnet to consume emissions at the same speed
A compute-heavy production subnet may need maximum funding today
A research subnet may prefer to trade some near-term funding for longer runway
Let subnets choose how quickly they consume their available emissions:
100%
50%
25%
Lower rates mean less TAO and alpha issued, slower dilution and more runway
A subnet at 25% could consume the same cumulative subsidy over roughly 4x the time of one at 100%
To make that viable, deregistration scores should adjust proportionally:
100% = 1x
50% = 2x
25% = 4x
Even with that adjustment, lower rates wouldn't guarantee survival
4x a near-zero score is still near zero
It simply gives promising projects more calendar time for each unit of network subsidy they consume
And gives the market more time to judge those projects before the same amount of subsidy is consumed
A research subnet could start at 25%, move to 50% as it gains traction and eventually use 100% when additional compute and capital become productive
A mature subnet could move the other way if it no longer needs maximum funding
Any declined TAO emissions should be burned, not redistributed
For lower rates to work in practice, the emission gate would also need to soften
With those pieces in place, lower rates mean:
Less TAO issuance
Less alpha dilution
Less sell pressure
More runway
As TAO becomes more valuable, this matters even more
A subnet's funding needs don't automatically 4x because TAO does
Let the market decide how much support a subnet earns
Let the subnet decide how quickly it uses it
Full article ↓
xitter.cf/BittensorIntern/status…
Bittensor Patch #4
Bittensor growth should translate directly into permanent $TAO burns
Burn a portion of transaction fees, subnet registration costs and other protocol-level fees
More transactions, more subnets, more TAO burned
Let subnet-specific value accrue to alpha, while network-wide activity burns TAO
Alpha earns. TAO burns 🔥
Bittensor Patch #6: Emission Taper
Subnets should earn continued support as they mature
Gradually reduce a subnet’s emissions over time, but let it slow or reverse that taper by returning value to alpha holders through revenue-funded buybacks and burns or direct distributions
The more value a subnet gives back, the more continued funding it can justify
Those that don’t would see their emissions gradually decline
Measuring that returned value in TAO terms lets emissions adjust dynamically as TAO’s price changes
As TAO’s price rises, the same dollar buyback represents less TAO and therefore does less to slow or reverse the taper
This helps prevent the network from simply paying more for the same work because $TAO became more valuable
To sustain a larger dollar subsidy, a subnet should deliver more value back
Combined with the previous patch, subnets could choose how quickly they consume their subsidy, with lower emission rates also slowing the taper
That preserves room for long-term research while raising expectations for mature subnets
Full article ↓
xitter.cf/BittensorIntern/status…
Can we normalise only praising subnets for every dollar returned to the network AFTER subtracting what they’ve received in emissions?
We’re celebrating monthly revenue and buybacks that don’t even cover the emissions a subnet receives each month, let alone what it’s received in total
We’re nearly two years in. Time to raise the bar
$TAO
Bittensor Intern 🤖🧠 retweeted
Heard of a top law firm completely cutting off Harvey and all API calls to Claude/OpenAI after they saw what openAI did with navier strokes
Now hosting everything locally with GPUs they own, running Kimi and deepseek
Think you’ll see a lot more of this going forward
Bittensor Intern 🤖🧠 retweeted
BREAKING: A fusion startup says it has turned mercury into gold, producing 10 times more than CERN's previous record.
Marathon Fusion says it achieved this using nuclear fusion.
For now, the amounts are tiny. But gold's price depends on it being rare, so anything that makes gold easier to produce is worth watching.
Bittensor Intern 🤖🧠 retweeted
Bittensor Intern 🤖🧠 retweeted
🚨BREAKING: White House fraud hotline overwhelmed with reports about the Federal Reserve banking system.


















