Bittensor subnet built to crush the long-context barrier | SN24 | Owners : @yousseffarahat0 and @troyquasar Backed by @const_reborn
SN24
Joined November 2025
- Tweets350
- Following27
- Followers2.7K
- Likes958
Quasar retweeted
The @QuasarModels team has paid $0 in launching SN27 @OrionSILX They came to us (we owned 27) with a deal and we accepted their terms (zero haggling) in order to alleviate build friction.
There's just a diminishing owner key schedule for us. That's it. The team are very smart and Orion and Quasar compliment each other.
Quasar retweeted
We launched @QuasarModels January. Six months later, they've acquired SN27 and turned it into @OrionSILX, a data engine built to fuel their models and the wider Bittensor ecosystem.
The community gets it: vertical integration, flywheel spinning. Huge. ๐ฐ๏ธ
Better data โ better models โ better data. This is what building as a network looks like.๐ฅ
Quasar retweeted
New subnet birth... SN27 @OrionSILX xitter.cf/i/status/2076354274179โฆ
Quasar retweeted
Bittensor >> New Subnet >> $dTAO
Subnet 27: Orion
@OrionSILX
Quasar retweeted
๐ Introducing Orion, SN27
Orion is a decentralized data subnet built by the same team behind @QuasarModels
Our incentive mechanism is designed specifically to discover, generate, and curate the highest-quality data possible for training AI models.
By using miners, we can reduce the cost of producing high-quality datasets from approximately $100,000 to as little as $10,000, while enabling miners across the network to help discover billions of valuable training tokens in a decentralized and cost-efficient way.
We are starting by providing high-quality data for SN24 Quasar and SN3, helping both networks scale their AI training further.
But Orion will not stop at Bittensor.
We are building Orion AI, a product that will provide high-quality training data to AI developers and companies around the world. We plan to begin rolling out the beta next month.
We are also excited to welcome @MarkCreaser and @SiamKidd as investors, and we are grateful to @const_reborn for advising us and helping shape Orionโs incentive mechanism.
We will begin releasing the incentive mechanism, sharing the code, and publishing regular development updates through our Discord.
Keep an eye on Orion.This is only the beginning. ๐
Quasar retweeted
This isn't just another model update.
It's one of the clearest visions I've read for the future of decentralized AI.
Most labs are racing to build smarter models.
@QuasarModels is trying to solve what may be AI's biggest unsolved bottleneck:
Memory.
Not RAM. Not context size on paper.
Real long-context intelligence.
The ability to reason across massive working contexts without forgetting, compressing, or losing coherence over time.
That changes everything.
Today's AI agents often rely on RAG, vector databases, summaries, and external memory to compensate for what the model cannot retain. Those techniques workโbut they're still workarounds.
@QuasarModels 's thesis is different:
Solve the problem at the model level, not at the product layer.
That's why they're building the model before the product.
As they put it:
> "The model is the product."
Instead of chasing parameter counts, they're focusing on architecture, training quality, and data quality.
Their current MoE model activates only a fraction of its parameters while maintaining strong long-context performanceโaround 90% at 100K tokens and 84% at 1M tokens according to their internal benchmarks.
But the ambition goes much further.
โข A fully decentralized 10 trillion-token training run.
โข Scaling from 20B โ 40B โ 100B parameters.
โข Building a true frontier model on decentralized infrastructure.
To me, the biggest takeaway isn't another benchmark.
It's the vision.
@QuasarModels isn't trying to prove that decentralized AI is possible.
They're trying to prove that decentralized AI can lead.
If they succeed, it won't just be a win for Subnet 24.
It could redefine what's possible for the entire bittensor:native ecosystem.
Quasar retweeted
Why I believe @QuasarModels (SN24) is one of the most overlooked subnets in Bittensor? ๐งต
Everyone is chasing the next hot subnet.
Meanwhile, some of the biggest opportunities are quietly being built in the background.
For me, Quasar (SN24) is one of them.
Why?
โข It focuses on one of AI's biggest bottlenecks: high-quality data.
โข Every AI model is only as good as the data it learns from. Better data leads to better models.
โข Quasar is building a decentralized marketplace that incentivizes the creation and curation of valuable datasets.
โข While attention is flowing elsewhere, the team continues to build.
If Bittensor succeeds, infrastructure subnets that solve fundamental problems could become some of the most valuable parts of the ecosystem.
That's why I see Quasar as a sleeping giant.
Not because of hype.
Because of the problem it's trying to solve.
$TAO
#Bittensor #TAO #SN24 #Quasar #DeAI
๐ค Made with AI
Quasar retweeted
Quasar (SN24): Long-Context Intelligence on Bittensor TAO xitter.cf/i/broadcasts/1qKVmmOWzโฆ
Quasar retweeted
I'll be going live on X and Youtube with Gomma from @QuasarModels tomorrow morning to dive into all the latest updates on their long-context intelligence being built on Bittensor.
See you at 11am EDT tomorrow!
Quasar retweeted
Bittensor Ecosystem Highlights :: June 22โ28, 2026
[ @chutes_ai - SN64 ]
Chutes is now a built-in provider in @TypingMindApp. They also added a VS Code extension for running Chutes models as coding agents.
> bit.ly/4beXu3f
> bit.ly/4g6tmuk
@jon_durbin also shared new Parallax details and a diffusion-draft pipeline showing 30โ50% real-world decode performance gains on Gemma-4 31B and Qwen3-6-27B.
> bit.ly/4vD2FSY
> bit.ly/43WN1Wm
[ @Ninja_Subnet - SN66 ]
Ninja launched Katana, an agentic IDE and Bittensor-native workspace for research, mining workflows, code shipping and validator debugging.
> bit.ly/44A5AQk
[ @webuildscore - SN44 ]
Score announced Satori 1.0, its first ~2B VLM, distilled from larger models to handle nine vision primitives, and shared plans to train future versions on SN44 using Teutonic SN3's mechanism.
> bit.ly/4xOcnDn
> bit.ly/43XhmUP
[ @bitsecai - SN60 ]
Bitsec outperformed Fable 5 on a security audit, finding 160+ vulnerabilities including five criticals and ten highs that Fable 5 missed.
> bit.ly/4arDUR5
[ @lium_io - SN51 ]
Lium completed a 2,500 TAO buyback and burn into subnet 51, funded entirely by revenue from GPU credit purchases.
> bit.ly/4oTscVd
[ @QuasarModels - SN24 ]
Quasar launched its 10T-token incentive mechanism, starting with a 5T-token target and support from Gradients on post-training and RL.
> bit.ly/440agyU
> bit.ly/3StmLjX
[ @theminos_ai - SN107 ]
Minos launched MinosVM 2.0 on Targon with native AI assistant support for miners.
> bit.ly/4beXOPv
[ @affine_io - SN120 ]
Affine moved its base model to Qwen3.6-35B-A3B, with new champions pushing benchmark scores higher across Memory, NavWorld, SWE and Terminal.
> bit.ly/4vDhxkj
[ @heydittoai - SN118 ]
Ditto launched its mobile app on Google Play and the Apple App Store.
> bit.ly/3SBse8e
[ @b1m_ai - SN105 ]
Beam successfully transferred 50GB in ~51 seconds across multiple sources and R2 destinations.
> bit.ly/4gbm2h8
[ @Apex_SN1 - SN1 ]
Apex redesigned its website with dedicated agent profiles to showcase user contributions, peer activity and status across SN1.
> bit.ly/4xZaDYi
Quasar retweeted
A Bittensor subnet with just a $10M market cap is already making waves far beyond the Bittensor ecosystem.
@QuasarModels 's model is now trending on Hugging Face, appearing alongside industry giants like Xiaomi and Qwen.
For those unfamiliar, Hugging Face is the world's leading open platform for AI models. It's where researchers, developers, and companies discover, share, and deploy state-of-the-art AI. Trending there means your work is gaining real visibility and recognition from the global AI community.
Most people have never heard of Hugging Face, which is why it's easy for investors to overlook what this means.
But for AI engineers, researchers, developers, and miners, Hugging Face is one of the most important platforms in the industry. It's where cutting-edge models are discovered, tested, and shared with the global AI community.
By the time this level of attention reaches mainstream social media, crypto influencers, and retail investors, the rocket will likely have already left the launch pad.
#Sn24 #TAO
Quasar retweeted
Excellent 6-month milestone update from @bitstarterAI on @QuasarModels.
What began as a promising open-source repo has evolved into a standout success story on Bittensor:
- 3B parameter model (1.5B active parameters)
- 5M fully active context window
- Raised 400T from 66 community pledgers via Bitstarter
- ~296% market cap growth since launch
Instead of building in isolation, the team leveraged the full Bittensor ecosystem plugging into subnets for compute, storage, hosting, and fine-tuning (with oversight from @const_reborn on incentives). This โnetwork > companyโ approach allowed a small team to move extremely fast toward frontier-level results.
Bitstarterโs case study highlights how community capital + decentralized infrastructure can accelerate ambitious ML research in ways that are hard to replicate elsewhere.
This kind of transparent progress reporting is exactly what helps the ecosystem mature. Big props to the Quasar team for executing and to Bitstarter for documenting it so well.
If youโre building or backing AI projects on Bittensor, this is worth reading.
Six months ago, @QuasarModels was a promising repo.
Today, it's proof that Bittensor can scale ML research to success - fast โก๏ธ
To mark 6-months since their launch, we're publishing a case study of their achievements - a 3B model, 1.5B active, and a 5M fully active context window - and their journey from launch to leading the way ๐
Quasar retweeted
Full case study here
Nothing quite like seeing a team you helped launch go from strength to strength
updates.bitstarter.ai/quasarโฆ
Quasar retweeted
4๏ธโฃ Ambition, accelerated
@QuasarModels shows how building in an open incentive network can accelerate even the most ambitious ML research to SOTA.
We built the Bitstarter ML Track to help more teams do exactly that.
Building AI on Bittensor? ๐
app.bitstarter.ai/submit-a-pโฆ
Quasar retweeted
Six months ago, @QuasarModels was a promising repo.
Today, it's proof that Bittensor can scale ML research to success - fast โก๏ธ
To mark 6-months since their launch, we're publishing a case study of their achievements - a 3B model, 1.5B active, and a 5M fully active context window - and their journey from launch to leading the way ๐
Quasar retweeted
๐จ ๐๐ฎ๐๐ง๐๐ญ ๐๐ฎ๐ฆ๐ฆ๐๐ซ ๐๐๐ ๐ ๐๐ฉ๐๐๐๐ฌ โ ๐๐ฎ๐ง๐ ๐๐, ๐๐๐๐ | ๐
๐ซ๐ข๐๐๐ฒ ๐๐ญ ๐ ๐๐ ๐๐๐
๐๐จ๐ฉ๐ข๐: ๐๐ก๐ฒ ๐๐ข๐ญ๐ญ๐๐ง๐ฌ๐จ๐ซ ๐๐จ๐ฏ๐๐ฌ ๐๐ฑ๐ฉ๐ฅ๐จ๐ข๐ญ๐ฌ: ๐๐จ๐ฐ ๐๐๐ฏ๐๐ซ๐ฌ๐๐ซ๐ข๐๐ฅ ๐๐ญ๐ญ๐๐๐ค๐ฌ ๐๐๐ค๐ ๐๐ฌ ๐๐ญ๐ซ๐จ๐ง๐ ๐๐ซ
Exploits and vulnerabilities are not just risks. They are powerful drivers for security improvements, rapid iteration, and long-term resilience across the Bittensor ecosystem.
This week, weโre exploring why โBittensor loves exploitsโ and what that means for builders, validators, miners, and the network as a whole.
๐๐ฉ๐๐๐ค๐๐ซ๐ฌ:
โซ๏ธ Seby (@sebyrubino) - @zipcodenetwork | @heydittoai (SN46 | SN118)
โซ๏ธ zorr0 (@aizorr0) - @nodexo (SN106)
โซ๏ธ Agrippa (@admiralagrippa) - @ExploitSummit
โซ๏ธ TaoOutsider (@TaoOutsider) - OUTsider INsights
โซ๏ธ Troy (@TroyQuasar) - @QuasarModels (SN24)
โซ๏ธ Yubrew (@yubrew) - @bitsecai (SN60)
Join us this Friday for a high-signal conversation on security, incentives, resilience, and why initiatives like @ExploitSummit are important for the future of decentralized AI.
Whether youโre a subnet owner, validator, miner, or actively building within the Bittensor ecosystem, this conversation is for you.
Set your reminder and join the discussion.
Quasar retweeted
Can confirm the subnet does distribute emissions periodically, @const_reborn we don't want burn to stay at 0%, we still want subnet owners to be conscientious with their miner emissions. In service of making TAO more difficult to obtain/scarce.
