As AI systems enter a recursive self-improvement loop, the central question is whether it can systematically move beyond human-designed methods to genuinely extend the scientific and intelligence frontier. What’s missing is a neutral, open standard for evaluating these capabilities in real, production-scale intelligence development. Today, we’re releasing OpenRSI-Index v0.1: evaluating whether AI can recursively improve itself and push the boundaries of intelligence and science, on production-scale clusters with 1k GPUs. We turn fully open-source projects into autoresearch environments, with agent trajectories lasting 60+ hours. Building v0.1 took 100K+ H100-hours. We’re building an ecosystem with and for the research community: let RSI benefit everyone, and let everyone shape RSI together. We invite task contributors and compute partners to build this open benchmark with us - all contributors will be included as paper authors. Shape RSI with us: 🌐 Website: 🛠️ GitHub: 🤝 Contribute: