Completely unrelated. Recursive Language Models are just "what if we replaced putting all the long text into the context window with a REPL which lets you read parts of the context through tool calls and launch partitioned subagents", ie divide-and-conquer applied to attention space.
They also tend to imply symbolic recursion which seems to be the biggest deal out of everything by a wide margin.
When you can nest 10+ agents deep and guarantee you will get back home without losing any data in any of the stack frames, the ability to chunk through complex problems goes up dramatically.
Completely unrelated. Recursive Language Models are just "what if we replaced putting all the long text into the context window with a REPL which lets you read parts of the context through tool calls and launch partitioned subagents", ie divide-and-conquer applied to attention space.
They also tend to imply symbolic recursion which seems to be the biggest deal out of everything by a wide margin.
When you can nest 10+ agents deep and guarantee you will get back home without losing any data in any of the stack frames, the ability to chunk through complex problems goes up dramatically.