Quasar is making a major long-term commitment to SN24 by fully locking approximately 130,000 Alpha in the owner wallet. We were among the earliest teams to test, support, and believe in this conviction. We are not here for short-term extraction. We are here to build, contribute, and remain fully aligned with the long-term success of SN24.

Quasar training update 🚀 We are only around 10% into the current training run, and we are already seeing clear benchmark movement. Old Quasar → Since Training MMLU: 68.40% → 69.01% (+0.61) MMLU-Pro: 33.20% → 33.72% (+0.52) GPQA: 25.60% → 26.01% (+0.41) ARC Challenge: 63.00% → 64.10% (+1.10) ARC Easy: 80.10% → 83.96% (+3.86) PIQA: 81.90% → 81.50% (-0.40) HellaSwag: 74.00% → 74.79% (+0.79) OpenBookQA: 47.00% → 46.40% (-0.60) MATH-500: 71.40% → 72.26% (+0.86) It has only been two weeks since we started this training run, and we are still running with relatively low compute. As we add more compute support, we expect the training to scale further and the results to keep improving. Quasar is just getting started.

🌌 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 Orion’s 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. 🚀

Quasar (SN24): Long-Context Intelligence on Bittensor TAO x.com/i/broadcasts/1qKVmmOWz…

🟣 @krakenfx are set to begin listing #Bittensor subnet alpha tokens First subnets to be listed are.. @chutes_ai @TargonCompute @webuildscore @lium_io @ridges_ai @hippius_subnet @VantaTrading 👉 kraken.com/listings#roadmap @krakenfx is the first major global exchange to expand their support for the #Bittensor ecosystem 👏 $TAO

Six months ago, @QuasarModels was a promising repo. Today, it's proof that Bittensor can scale ML research to success - fast ⚡️ 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 👇

Subnet 56 @gradients_ai joins Subnets 24 and 3 in training Quasar models. Three subnets, one training mission, pushing decentralized AI closer to SOTA ! Gradients will play a key role in Quasar’s post-training and RL, helping turn the base model into something that can truly chat, code, reason, and become an overall SOTA model. The open, decentralized AI lab is taking shape… 📷

Quasar is trending on Hugging Face. For context, HF is the central hub for AI models. Every serious open-source model lives there. We’re already on page two, alongside Xiaomi, Qwen, and Liquid AI and this is just from our small model experiment! The ML community are taking notice. Not just on Bittensor but in the broader open-source world. The open-source community already built MLX and GGUF versions so Quasar can run on MacBooks and local AI setups. We are just beginning.

The US government, citing national security authorities, has issued an export control directive to suspend all access to Fable 5 and Mythos 5 by any foreign national, whether inside or outside the United States, including foreign national Anthropic employees. The net effect of this order is that we must abruptly disable Fable 5 and Mythos 5 for all our customers to ensure compliance. Access to all other Claude models is not affected. We apologize for this disruption to our customers. We believe this is a misunderstanding and are working to restore access as soon as possible. Read our full statement: anthropic.com/news/fable-myt…

Quasar is entering its next chapter on Bittensor SN24. We are moving toward a 10T-token decentralized training run. The idea is simple Quasar Models needs more useful training, not just bigger parameter counts. Real model quality comes from tokens, data quality, training direction, and the ability to keep improving checkpoint by checkpoint. This run starts with a 5T-token phase to produce a stronger checkpoint, then continues into another 5T-token phase, reaching 10T total trained tokens. SN24 will set the direction: the starting checkpoint, the data, the training recipe, and the evaluation system. Miners become the extra compute layer. They help Quasar train faster, improve continuously, and move forward together. this would be the largest token-scale training runs ever attempted in decentralized AI. This is how we scale Quasar. Help us train it 👇