$2,200,000,000... that's how large the top AI Crypto is right now
While I believe that's undervalued, I think within that are 1000x plays that are abundantly obvious
$TAO for example
>why would I buy TAO when I know a majority of subnets are just emission farming
>size into subnets with clear revenue or are likely to produce success stories right now (chutes, vanta, targon, iota, minos, nova that are likely to carry the network to new highs
If they're successful you might catch a 10x on TAO, but you will catch 100-1000x on subnets + farm yield from dTAO
There's almost no reason to be allocated directly into TAO alone unless you're lazy or believe subnets won't grow
Which in that case you shouldn't be holding TAO at all
The part no cycle model will see coming.
You can not calculate the next breakthrough.
Innovation is nonlinear.
Progress compounds.
Then suddenly changes everything.
$TAO
I have used the TAO(dot)com Chrome extension and I can boldly say it's one of the best UIs in the network.
Pretty much allows you to do everything at one place. And most especially, it visualizes your subnet holdings in a way that you can easily track performance and manage your holdings.
A big release. Ensure to try it out! $TAO
🔎 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 → https://t.co/g619vgTYkr
CrowdStrike became a $70B+ company for one reason: after enough breaches, security stopped being optional.
Koyuki Nakamori (@knakamor) has been calling Perturb (SN26) "the CrowdStrike for AI models" for exactly this reason.
She walked away from a near-hire at OpenAI to build it. Her thesis is that AI has reached the software industry's pre-CrowdStrike moment, and whoever has the safety infrastructure ready wins the mandate when the inevitable public incident hits.
Read the interview with @AltcoinMillie 👇
Now live: SN51
@lium_io is a decentralized GPU rental marketplace on @bittensor, connecting a global pool of GPU providers with renters running ML training, inference, and data workloads on demand.
Start trading today → https://t.co/N6E2mSH92f
Did you know Taostats started as a spreadsheet that helped early Bittensor investors track the incentive layer?
Listen to Mog (@mogmachine), founder of @taostats, tell the story of how he stumbled onto Bittensor, and how Taostats grew from a simple spreadsheet into the top block explorer in the network. 👇
Cc: @TheBlockCo@proofoftalk
Did you know Taostats started as a spreadsheet that helped early Bittensor investors track the incentive layer?
Listen to Mog (@mogmachine), founder of @taostats, tell the story of how he stumbled onto Bittensor, and how Taostats grew from a simple spreadsheet into the top block explorer in the network. 👇
Cc: @TheBlockCo@proofoftalk
How do you know a GPU you're renting actually exists? @taodaily_io broke down two answers to that question. Nodexo proves it with a challenge only real hardware can pass, on an open marketplace with no downtime.
https://t.co/CLnVcvgqCP
Every bittensor:native holder has the same morning routine.
☀️ Wake up
📈 Check @taostats
📰 Read @taodaily_io
🤝 Dive deeper into the Bittensor rabbit hole.
There's always something new to learn about Bittensor.
bittensor:native