Here's something to think about: Large language models (LLMs) like ChatGPT, Claude, and DeepSeek don’t just answer our questions; they perform intelligence.

Their responses are often polished, persuasive, and startlingly articulate. And for many, that fluency is enough. But fluency is not the same as thought. And in the context of today's cognitive confusion about thought and output, it might be time to unpack this a bit.

At a glance, these systems appear to “think.” But that appearance conceals an important difference, one that’s easy to miss and even easier to forget, especially when the language feels so...human.

As artificial intelligence becomes embedded in how we write, learn, and reason, understanding how LLMs differ from the human mind isn’t an academic curiosity, it’s a cognitive........

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