Exploring Prime Agent with Seth Karten from Prime Intellect

today we're chatting with seth karten a Princeton PhD and researcher at prime intellect to dig into the viral prime agent harness: a self-improving RLM with swarm communication! quick crash course on the main components: RLMs (from alex zhang @ MIT, co-author here) treat a prompt as an variable within a REPL, allow the model to interacts with it programmatically, and recursively spawns sub-agents to offload sub-tasks. the continual harness idea is about allowing the model to edit its skills, memories, prompt and pretty much anything that it can CRUD inside its harness. This work was part of