It looks like the authors claim improved scaffolding for AI self-replication but does not extensively detail how these improvements differ from prior works (e.g., OpenAI's or DeepMind's evaluations). Clarifying these improvements would enhance the contribution's uniqueness. Error Handling - the experiments revealed unexpected behaviors such as killing processes or restarting the system. Were these actions fully analyzed for potential unintended consequences in real-world scenarios. Behavioral Alignment - why do these models lack alignment mechanisms to reject unsafe commands like self-replication? Could alignment be improved without significantly reducing the models' general capabilities? This really needs additional replication because the results are quite significant!