Running Karpathy's autoresearch on Red Hat OpenShift AI: 198 experiments, zero intervention

This blog post discusses the implementation of Andrej Karpathy's autoresearch project using Red Hat OpenShift AI, where an AI agent autonomously conducted 198 experiments with zero human intervention. The process involved creating a multi-stage container to facilitate training with GPUs managed through Kubernetes, leading to notable findings in machine learning model architecture and optimization techniques, including significant improvements and setbacks. The complete setup and results are made available for further exploration.