Datasets are the bottleneck — not compute. The Shiver Network runs distributed scraping plus synthetic-data pipelines across all participating nodes. Output is peer-graded, deduplicated, and pushed to public dataset releases.
Every node opts into a configurable portion of its bandwidth for ethical scraping of public sources. Robots.txt respected, rate-limited per origin, classified and deduplicated before storage.
Cold-running nodes generate teacher-model rollouts — instruction tuning sets, reasoning chains, code completions. Quality-graded via peer voting before inclusion in the public corpus.
All cleaned + graded outputs land on Hugging Face under shark-shiver/. Free for commercial + research use. No data lock-in.
Nodes earn $SHIVER for both their compute contribution and the data they generate. Peer-graded quality multipliers reward useful outputs over volume.