RecursiveMAS lets AI agents think silently in latent space
Researchers just introduced RecursiveMAS, a framework where AI agents collaborate directly within latent representations instead of passing text back and forth. By keeping intermediate thoughts silent until the final answer, it slashes token usage by up to 75% while boosting inference speeds up to 2.4x. It essentially swaps slow text decoding for seamless shared reasoning.