Recursive Language Models explained by MIT's Alex Zhang on coding agents
Original titleRecursive Language Models: Claude Code, Agent Swarms, Big Research Bets, & the $40M AI Problem Solver https://www.latent.space/p/rlm
AISummary
A Latent.Space podcast episode features MIT researcher Alex Zhang explaining recursive language models (RLMs).
He discusses why Claude Code, Codex, and Pi are basically the same, and how RLMs use code, context offloading, and recursive subagents to generalize across tasks.
The episode also covers OpenAI's 10,000-agent, 130B-output-token experiment and academia's freedom to pursue ambitious research bets.
Source: Latent.Space · x.comPublished · added here