Forget the massive, energy-hungry AI models we're used to—researchers have developed a new type of AI called Hierarchical Reasoning Models (HRMs) that can solve complex problems 100 times faster than large language models (LLMs) like GPT-4, and it only needs 1,000 training examples to do it. Unlike today's behemoth AIs, HRMs are leaner, quicker, and far more efficient, making them a potential game-changer for real-world applications where speed and data scarcity are issues.

Editor’s Note: This isn't just another incremental upgrade—it's a fundamentally different approach to AI reasoning. If HRMs live up to their promise, they could democratize AI by making powerful reasoning accessible without needing massive datasets or computing power. That means faster, cheaper, and more practical AI tools for everything from healthcare diagnostics to financial modeling. It also hints at a future where AI doesn't have to mean "bigger is better."