Developer Impact
RLMs sidestep context rot through code-like decomposition
Instead of squeezing everything into one forward pass, Zhang's approach lets models inspect data, launch recursive instances, and reassemble results in a persistent sandbox, targeting inference-time gains without relying on ever-larger context windows.
Open Question
One-year horizon for practical tests remains unproven
Zhang expects small models using these techniques to approach frontier performance soon, yet no public benchmarks yet show whether the gap actually closes or how widely the open-source RLM code will be adopted.