Solving a Million-Step LLM Task with Zero Errors

Researchers developed MAKER, the first system to complete over one million language model steps without errors by breaking complex tasks into tiny subtasks handled by specialized microagents that vote to correct mistakes at each step. This breakthrough suggests that instead of improving individual AI models, using networks of simple agents could solve problems at organizational and societal scales.