Bittensor claims four AI milestones in 24 hours, from 16.2B training to wet-lab testing
bittingthembits · x · 2026-07-29
Bittensor supporters are pointing to four on-chain AI milestones in 24 hours:
- SN9 ran a distributed pipeline-parallel training job at 16.2B parameters with 10 stages and 18 replicas.
- SN107 co-authored an OpenAI paper on agentic scientific computing, with HelixForge used as a case study.
- SN53 served the full 2.8T-parameter Kimi K3 across 80 consumer RTX 4090s, avoiding HBM.
- SN68 moved AI-discovered nanobody candidates into wet-lab production and testing with Yalotein.
The post argues this is evidence that decentralized AI is still very early, but already producing lab-scale progress across training, inference, research, and bio.
Related event: Bittensor Subnets Release Multiple AI Ecosystem Updates in 24 Hours(3 posts)→
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