You ask Siri to “find me a romantic restaurant,” and it suggests a taco truck. Classic AI fails like this happen because most systems today rely on Large Language Models (LLMs) , which are glorified guessers. LLMs scan text for patterns - like autocomplete on steroids - but they don’t understand meaning. (Meta’s new Large Concept Models (LCMs), however, are changing the game. LCMs and the Future of Thinking Machines These AI systems don’t just mimic text; they process ideas at a higher level, much like how humans link words to concepts. (Imagine an AI that knows “Java” isn’t just a coffee bean but also a programming language - and can explain why it’s used in apps. That’s the promise of LCMs.) LCMs vs. LLMs: The “Why” vs. the “What” Let’s get meta (pun intended). LLMs are like a chef who follows a recipe perfectly but can’t explain why you shouldn’t add anchovies to a chocolate cake. They predict the next word in a sentence based on patterns but lack context . For examp...