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A Japanese research lab, Sakana AI, just dropped a paper on a new training method that could change everything we thought we knew about building smart AI. This isn't just an upgrade; it's a new way of thinking. This video breaks down their "Multi-LLM AB-MCTS" algorithm—a system inspired by AlphaGo that allows multiple AI models to team up to solve problems that even the biggest frontier models struggle with. We'll explore: Why traditional AI training methods are slow and inefficient. How this new system decides when to "think deeper" vs. "try a new idea." The shocking benchmark results where this new method beat almost every other major AI. Why this is a significant step towards AGI (Artificial General Intelligence). This is the story of how a new algorithm is challenging the "bigger is better" philosophy of AI development. #AI #MachineLearning #SakanaAI #ArtificialIntelligence