Bittensor Guru

Will and Steffen join to announce IOTA by Macrocosmos, Incentivized Orchestrated Training Architecture on Subnet 9. Anyone can now mine on Bittensor using hardware you already own by contributing compute to IOTA's global training cluster, the world's first permissionless pipeline parallel training architecture.  Join IOTA: https://iota.macrocosmos.ai/train-at-home Video: https://x.com/KeithSingery/status/1995759981044683170?s=20 https://www.macrocosmos.ai/ https://macrocosmosai.substack.com/ https://x.com/macrocosmosai https://x.com/macrocrux https://x.com/WSquiresI https://github.com/macrocosm-os

Inference Labs is pioneering zkML applications in AI with Subnet 2 Omron and DSperse. Dan and Hudson join to take me through what they've built and how it applies to much more than proof of inference.  https://x.com/KeithSingery/status/1978572966477611168?s=20 https://x.com/inference_labs https://arxiv.org/abs/2508.06972  

Subnet 62 Ridges is on a tear the last month and has now cracked the top 15 subnets. Join me and owner Shakeel on this pod as we jam on all things 62. This is one of my favorite new projects on Bittensor and has a great chance to disrupt AI coding. video: https://x.com/KeithSingery/status/1949125382579655120 https://x.com/ridges_ai https://x.com/hobbleabbas https://ridges-ai.vercel.app/  

Sam leads Bittensor's Templar  and Basilica subnets. Templar is one of the world's top distributed training platforms and it's easy to understand why after this conversation. Fresh off a successful implemention on of CCLoco on subnet 3, he now has his target on building a permissionless, community-owned compute cloud on subnet 39 Basilica. Sam is a cult hero within Bittensor and it was an honor to have him on the pod.  Video: https://x.com/KeithSingery/status/1947404033205145938 https://x.com/DistStateAndMe https://x.com/tplr_ai    

Max joins from Subnet 44 Score to discuss the innovative approaches being taken by his team in the realm of computer vision and artificial intelligence, particularly in the context of sports analytics. We touch on self-supervised learning, the challenges of data annotation, and the mechanisms in place to incentivize miners in Bittensor. We also cover community engagement, quality control, and the collaborative nature of building decentralized systems. Enjoy all!    https://x.com/webuildscore https://x.com/mxmsbt https://github.com/score-technologies/score-vision Score's Novelty Search - https://youtu.be/LFtWDOwmmeU?si=LqE1V5KGq7ld5x2v https://bittensor.guru