The Tiny AI That Outreasoned Goliath: How a 27-Million-Parameter Model Beat Tech Giants at Their Own Game You’ve likely marveled at AI’s ability to generate poetry, compose symphonies, or even build functional apps from a single prompt. Yet, ask the same colossal model to solve a basic logic puzzle, and it might utterly crumble. It’s a paradox that’s stumped researchers: **Why do trillion-parameter behemoths, trained on nearly the entire internet, hit a brick wall when faced with pure step-by-step reasoning?** This isn’t just a quirky limitation—it’s one of the final frontiers on the path to *true* artificial intelligence. And now, a small team of researchers from Singapore-based **Sapiant** has shaken the AI world with a radically different approach. Their brain-inspired model, called **HRM (Hierarchical Reasoning Model)**, isn’t just nibbling at the giants’ heels—it’s *beating them*. And it’s doing it with **less than 0.0007% of their size**. Why Giant AI Still Stum...
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