AI models improve accuracy on complex tasks by simulating internal debate

AI models improve accuracy on complex tasks by simulating internal debates, a process dubbed "society of thought." This "society of thought" involves diverse perspectives and expertise, allowing models to refine logic through argumentation and self-correction, enhancing performance in reasoning and planning. Enterprises can leverage this by training models on messy, iterative data and designing prompts that encourage simulated conflict, leading to more robust and trustworthy AI applications.