Researchers explore the benefits of multi-agent test-time communication in AI systems, finding that teams of agents can outperform independent agents on challenging tasks with sufficient compute and clear feedback. This study suggests that communication among agents can lead to substantial gains in problem-solving, particularly in novel and research-oriented tasks.