This article stands as complete hype. They just seem to offer an idea of "replication training" which is just some vague agentic distributed RL. Multi-agent distributed reinforcement learning algorithms have been in the actual literature for a while. I suggest studying what DeepMind is doing for current state of the art in agentic distributed RL.
I didn’t think it was vague. Given an existing piece of software, write a detailed spec on what it does and then reward the model for matching its performance.
The vague part is whether this will generalize to other non software domains.
