Recursive language models, agent swarms and big research bets

Latent Space interviews recursive language models’ first author Alex Zhang, who describes how they use code, offloaded context and subagents to apply similar strategies across different tasks. He argues that academic researchers can take ambitious bets industry labs might avoid. The hosts also discuss an OpenAI experiment they say used 10,000 agents and generated 130 billion output tokens.