Sep 09, 2026

It’s Tokens All The Way Down: How RLMs are Different — Kevin Madura, AlixPartners

Kevin Madura introduces Recursive Language Models (RLMs), a paradigm shift where an LLM treats its context as an interactable object within a REPL, rather than mere tokens. This allows for direct computation, recursive decomposition of problems by delegating to sub-models, and significantly mitigates context rot, outperforming traditional RAG, agents, and tool calls. Use cases range from complex data analysis and long document processing to code auditing and harness optimization, hinting at a future where models are natively RLM-aware.

Jul 12, 2026

RLM: Recursive Language Models for Large Codebases - Shashi, Superagentic AI

This talk introduces Recursive Language Models (RLM) as a solution for coding agents struggling with large codebases. RLM externalizes context management into a programmable REPL, allowing the model to write code, inspect the repository, and recursively delegate sub-questions via `llm_query` to curate relevant context. The speaker demonstrates `RLM Code`, an independent implementation, showcasing its operational loop, observability features, and practical applications for AI engineers dealing with complex software projects.