At @SonicLabs, consensus safety is not something we claim. It is something we prove đź“ś
We developed and open-sourced a TLA+ verification library that allows developers to verify the safety of DAG-based consensus protocols without starting from scratch
From DAG Rider to Bullshark and Aleph, the library speeds up proof work and reduces verification errors
Presented at NASA Formal Methods 2025, this research shows how composable, verified building blocks can drastically reduce the risk of consensus flaws across entire ecosystems
For $S, every change to Sonic consensus is backed by mathematical certainty, ensuring network safety at scale 🌍
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