Ala Shaabana

As with other commodities, markets could help us efficiently produce machine intelligence. We propose a market where intelligence is priced by other intelligence systems peer-to-peer across the internet.

And I think that the way that BitTensor incentivizes intelligence is very much in that same vein. ... And to know that it's producing something that is incredibly valuable and incredibly productive to the betterment of mankind or humankind is fantastic.

Further, the executive order maintains a status quo in which only a few corporations can wield AI for their own purposes. Open source AI seeks to democratize and decentralize this power for the greater good.

I think Bittensor could become something like TCP/IP for AI. Most people don't think about TCP/IP, but it underpins the entire internet. I see Bittensor becoming that underlying layer, quietly powering AI development everywhere.

you don't have just one massive network or one massive monolith. Now you have small subnetworks...these subnetworks can actually take care of different aspects

Bittensor's roadmap to dissolve its own foundation over time, completing the decentralized vision through demonstrable self-governance.

as Bittensor continues to scale, the community must further accelerate progress by expanding resources and capabilities, and most importantly, decentralizing away from the Opentensor Foundation and into the world

The long-term bull case is no longer primarily technological. It is driven by debt, liquidity, and declining trust in traditional sovereign systems. Subnets really create markets. Intelligence really is no longer locked behind issues of organization; signals will define the truth, and performance is really rewarded.

Information itself on the network also compounds. Right. You don't need to relearn things anymore because you're speaking to other models and might have already learned something that your model doesn't know yet.

Any TAO on the system has actually been mined fairly. So it's actually contributed to the general knowledge of the whole system. We didn't kind of do any kind of initial coin offering.

At BitTensor, the idea is that you as a human have no input over what models you're talking to. It's your own model that's picking and choosing who to talk to, who is best for it. So we kind of remove this human bias part of it.

I find it a little bit more terrifying that a single company, like I don't want to mention, would own AGI compared to all of us owning a piece of it

it might make sense to talk a little bit about how this, um, really sets down the path for like to build things on top of the tensor for anybody, not just for us or for anybody else.

Due to their public nature, open source AI projects, such as Bittensor, often lead these discussions, influencing the standards around responsible AI.

It all comes down to incentives. Without a token, everyone races to solve the same problem and earns nothing, which is exactly why earlier distributed compute projects failed. By aligning incentives properly, Bittensor gives everyone a fair opportunity to earn based on the value of their work.

Anyone anywhere in the world can compete

It's like if three people in the world owned all the libraries, teachers and computers, and everyone else needed permission to use them

Further, the executive order maintains a status quo in which only a few corporations can wield AI for their own purposes. Open source AI seeks to democratize and decentralize this power for the greater good.

One of the big inefficiencies of AI is...retraining stuff over and over, right? The other kind of side that is also inefficient is the idea of contribution. Today...if I want to contribute to, let's say, an open AI or some massive GPT model...I really kind of have to be either part of the Googles and the Facebooks of the world.

We looked at projects like Folding@Home or SETI@Home. They were distributed, but they lacked proper incentives, and ultimately they failed. That's when it became clear that blockchain was the missing piece.

Bitcoin is designed in such a way that this digital commodity is very easy to to validate, right? Hashes are immediate to validate and everybody can agree

Standalone engineers cannot directly monetize their work and what results is centralization where a small set of large corporations control access to the best artificial intelligence.

I find it a little bit more terrifying that a single company, like I don't want to mention, would own AGI compared to all of us owning a piece of it

Contrast what we've learned about open source AI in this article with the recent executive order, which states that every company training an AI model must report this model to the U.S. government and obtain approval.

Standalone engineers cannot directly monetize their work and what results is centralization where a small set of large corporations control access to the best artificial intelligence.

One of the big inefficiencies of AI is...retraining stuff over and over, right? The other kind of side that is also inefficient is the idea of contribution. Today...if I want to contribute to, let's say, an open AI or some massive GPT model...I really kind of have to be either part of the Googles and the Facebooks of the world.

AI has a fundamental verification problem. Blockchains are very good at verification... you get a trustless, permissionless environment where work can be verified transparently. In many ways, AI verification is the use case blockchains have been waiting for.

The OpenAI governance drama highlighted just how centralised AI power has become... At the same time, Bittensor is fully open-source, incentivising transparent AI development. And importantly, the ecosystem has reached a point where builders are moving faster than the core team.

Very early. We were among the first to coin the term 'crypto AI', and now you're seeing massive valuations being raised for problems we're already solving. That tells you two things: the market is only starting to understand the value here, and the wave is coming.

One of these subnets may finally bridge the crypto <> normal users gap, and that will make it an industry success, not just bittensor.

The long-term bull case is no longer primarily technological. It is driven by debt, liquidity, and declining trust in traditional sovereign systems. Subnets really create markets. Intelligence really is no longer locked behind issues of organization; signals will define the truth, and performance is really rewarded.

We all know that Bitcoin really dwarfs the top 100 supercomputers. Does anybody know, in comparison, what the hash rate is? It's over 600,000 times the power of really what these supercomputers can do. And that's just, really, it's Bitcoin.

delegation will actually allow you to maybe hold a few TAO and then be able to earn on that TAO as you delegate to some bigger validator.

it might make sense to talk a little bit about how this, um, really sets down the path for like to build things on top of the tensor for anybody, not just for us or for anybody else.

You also have researchers, including people from traditional Web2 AI labs, who are increasingly interested in decentralised training because it produces more resilient, generalist models.

Anyone anywhere in the world can compete

It's not enough to make the best product; you have to market it the best also

One of these subnets may finally bridge the crypto <> normal users gap, and that will make it an industry success, not just bittensor.

One of the big inefficiencies of AI is...retraining stuff over and over, right? The other kind of side that is also inefficient is the idea of contribution. Today...if I want to contribute to, let's say, an open AI or some massive GPT model...I really kind of have to be either part of the Googles and the Facebooks of the world.

I find it a little bit more terrifying that a single company, like I don't want to mention, would own AGI compared to all of us owning a piece of it

Contrast what we've learned about open source AI in this article with the recent executive order, which states that every company training an AI model must report this model to the U.S. government and obtain approval.

It's like if three people in the world owned all the libraries, teachers and computers, and everyone else needed permission to use them

The OpenAI governance drama highlighted just how centralised AI power has become... At the same time, Bittensor is fully open-source, incentivising transparent AI development. And importantly, the ecosystem has reached a point where builders are moving faster than the core team.

we decided to move as a solo chain so we can get back to our nimble development while simultaneously still looking into Polkadot.

It's five to seven times cheaper than Claude code and Codex at a comparable benchmark

As with other commodities, markets could help us efficiently produce machine intelligence. We propose a market where intelligence is priced by other intelligence systems peer-to-peer across the internet.

We're an API. And since we are effectively a gigantic, decentralized mixture of experts, what happens is at the mid-tensor layer, any model that you create is going to have...it's really a way to pick experts.

Because BitTensor is essentially one large mixture of experts model, you can have it interface with these different environments

One way to think about it is as a brain. Another is as a city. Bittensor is made up of 'subnets', which you can think of as neighbourhoods or specialised regions. Each subnet solves a different problem — storage, inference, training, object generation, defect detection.

I think Bittensor could become something like TCP/IP for AI. Most people don't think about TCP/IP, but it underpins the entire internet. I see Bittensor becoming that underlying layer, quietly powering AI development everywhere.

It's basically taking bitcoin's mining side and making that programmable on a new chain

We look at these subnets like you would look at startups

The long-term bull case is no longer primarily technological. It is driven by debt, liquidity, and declining trust in traditional sovereign systems. Subnets really create markets. Intelligence really is no longer locked behind issues of organization; signals will define the truth, and performance is really rewarded.

At BitTensor, the idea is that you as a human have no input over what models you're talking to. It's your own model that's picking and choosing who to talk to, who is best for it. So we kind of remove this human bias part of it.

Decentralised AI changes this by letting you talk to many models at once, with validators selecting the best responses. Instead of one ChatGPT, you're speaking to a room of them. That brings resilience, nuance, and scale, and it opens the door to models with trillions of parameters.

you don't have just one massive network or one massive monolith. Now you have small subnetworks...these subnetworks can actually take care of different aspects

Each project is almost its own independent entity that is tied to TAO directly.

Bitcoin is designed in such a way that this digital commodity is very easy to to validate, right? Hashes are immediate to validate and everybody can agree

It all comes down to incentives. Without a token, everyone races to solve the same problem and earns nothing, which is exactly why earlier distributed compute projects failed. By aligning incentives properly, Bittensor gives everyone a fair opportunity to earn based on the value of their work.

AI has a fundamental verification problem. Blockchains are very good at verification... you get a trustless, permissionless environment where work can be verified transparently. In many ways, AI verification is the use case blockchains have been waiting for.

We looked at projects like Folding@Home or SETI@Home. They were distributed, but they lacked proper incentives, and ultimately they failed. That's when it became clear that blockchain was the missing piece.

Show me the subnet, and I'll tell you what the miners are optimizing for.

We all know that Bitcoin really dwarfs the top 100 supercomputers. Does anybody know, in comparison, what the hash rate is? It's over 600,000 times the power of really what these supercomputers can do. And that's just, really, it's Bitcoin.

Any TAO on the system has actually been mined fairly. So it's actually contributed to the general knowledge of the whole system. We didn't kind of do any kind of initial coin offering.

Due to their public nature, open source AI projects, such as Bittensor, often lead these discussions, influencing the standards around responsible AI.

every 12 seconds or so there is a new block generated. And with that block, there's one TAO that is awarded to the highest performers

Information itself on the network also compounds. Right. You don't need to relearn things anymore because you're speaking to other models and might have already learned something that your model doesn't know yet.

delegation will actually allow you to maybe hold a few TAO and then be able to earn on that TAO as you delegate to some bigger validator.

It all comes down to incentives. Without a token, everyone races to solve the same problem and earns nothing, which is exactly why earlier distributed compute projects failed. By aligning incentives properly, Bittensor gives everyone a fair opportunity to earn based on the value of their work.

Decentralised AI changes this by letting you talk to many models at once, with validators selecting the best responses. Instead of one ChatGPT, you're speaking to a room of them. That brings resilience, nuance, and scale, and it opens the door to models with trillions of parameters.

There's a $100,000,000 a year that are handed out basically as a subsidy

You have to stake the TAO to get the subnet tokens

I find it a little bit more terrifying that a single company, like I don't want to mention, would own AGI compared to all of us owning a piece of it

And I think that the way that BitTensor incentivizes intelligence is very much in that same vein. ... And to know that it's producing something that is incredibly valuable and incredibly productive to the betterment of mankind or humankind is fantastic.

Further, the executive order maintains a status quo in which only a few corporations can wield AI for their own purposes. Open source AI seeks to democratize and decentralize this power for the greater good.

AI has a fundamental verification problem. Blockchains are very good at verification... you get a trustless, permissionless environment where work can be verified transparently. In many ways, AI verification is the use case blockchains have been waiting for.

I think Bittensor could become something like TCP/IP for AI. Most people don't think about TCP/IP, but it underpins the entire internet. I see Bittensor becoming that underlying layer, quietly powering AI development everywhere.

It's basically taking bitcoin's mining side and making that programmable on a new chain

every 12 seconds or so there is a new block generated. And with that block, there's one TAO that is awarded to the highest performers

ChatTensor is actually intended to run in Fini to learn from all the subnetworks we're creating under Fini.

You also have researchers, including people from traditional Web2 AI labs, who are increasingly interested in decentralised training because it produces more resilient, generalist models.

The OpenAI governance drama highlighted just how centralised AI power has become... At the same time, Bittensor is fully open-source, incentivising transparent AI development. And importantly, the ecosystem has reached a point where builders are moving faster than the core team.

One of these subnets may finally bridge the crypto <> normal users gap, and that will make it an industry success, not just bittensor.

There's a $100,000,000 a year that are handed out basically as a subsidy

It's five to seven times cheaper than Claude code and Codex at a comparable benchmark

We all know that Bitcoin really dwarfs the top 100 supercomputers. Does anybody know, in comparison, what the hash rate is? It's over 600,000 times the power of really what these supercomputers can do. And that's just, really, it's Bitcoin.

Nakamoto is going to stay the same. We are going to be either launching on Kusama or Polkadot, depending on how this Finney soft launch goes.

We will be winding down Nobunaga in the coming weeks. I will post up an announcement about it as we do it, but Nobunaga is becoming obsolete in the next couple weeks.

we decided to move as a solo chain so we can get back to our nimble development while simultaneously still looking into Polkadot.

It's like if three people in the world owned all the libraries, teachers and computers, and everyone else needed permission to use them

It's not enough to make the best product; you have to market it the best also

Show me the subnet, and I'll tell you what the miners are optimizing for.

Nakamoto is going to stay the same. We are going to be either launching on Kusama or Polkadot, depending on how this Finney soft launch goes.

we decided to move as a solo chain so we can get back to our nimble development while simultaneously still looking into Polkadot.

Bittensor's roadmap to dissolve its own foundation over time, completing the decentralized vision through demonstrable self-governance.

as Bittensor continues to scale, the community must further accelerate progress by expanding resources and capabilities, and most importantly, decentralizing away from the Opentensor Foundation and into the world

We looked at projects like Folding@Home or SETI@Home. They were distributed, but they lacked proper incentives, and ultimately they failed. That's when it became clear that blockchain was the missing piece.

The OpenAI governance drama highlighted just how centralised AI power has become... At the same time, Bittensor is fully open-source, incentivising transparent AI development. And importantly, the ecosystem has reached a point where builders are moving faster than the core team.

Very early. We were among the first to coin the term 'crypto AI', and now you're seeing massive valuations being raised for problems we're already solving. That tells you two things: the market is only starting to understand the value here, and the wave is coming.

We look at these subnets like you would look at startups

A new commodity needs a new type of market. This paper suggests a framework in which machine intelligence is measured by other intelligence systems.

We're an API. And since we are effectively a gigantic, decentralized mixture of experts, what happens is at the mid-tensor layer, any model that you create is going to have...it's really a way to pick experts.

you don't have just one massive network or one massive monolith. Now you have small subnetworks...these subnetworks can actually take care of different aspects

ChatTensor is actually intended to run in Fini to learn from all the subnetworks we're creating under Fini.

Each project is almost its own independent entity that is tied to TAO directly.

Very early. We were among the first to coin the term 'crypto AI', and now you're seeing massive valuations being raised for problems we're already solving. That tells you two things: the market is only starting to understand the value here, and the wave is coming.

There's a $100,000,000 a year that are handed out basically as a subsidy

You have to stake the TAO to get the subnet tokens

We look at these subnets like you would look at startups

Show me the subnet, and I'll tell you what the miners are optimizing for.