Inference-Time Scaling and Collective Intelligence for Frontier AI

Sakana AI ● 2 sources

Sakana AI developed AB-MCTS, an inference-time scaling algorithm that enables multiple frontier AI models to cooperate and perform trial-and-error reasoning. A combination of o4-mini, Gemini-2.5-Pro, and DeepSeek-R1-0528 using Multi-LLM AB-MCTS achieved significantly higher performance on the ARC-AGI-2 benchmark compared to any individual model. This approach leverages the diverse strengths and weaknesses of different models to solve problems that would be insurmountable for any single model.