Recently, GPT5 left me so stunned I wanted to bury my head in the sand—not because of its conversational prowess, but because it managed to explain the underlying mechanisms of computer science from a bird's-eye view, making it feel like a bedtime story.

Typically, reading an academic paper is like licking the dust off an entire library with your tongue. But this time, the deep research document it generated—covering everything from CPU cache coherence protocols to the latest distributed architectures—had me scrolling through it on my phone screen by screen, even experiencing an eerie sense of reading pleasure. It was like suddenly gaining a god's-eye view: scattered knowledge points were connected by some higher-dimensional logic, and even the most obscure academic symbols felt like old friends.

The most ironic part? This teaching approach outperforms 99% of university professors. They love dressing up simple concepts in academic jargon, as if not raising your brain temperature by 0.5°C would make them seem unprofessional. GPT5’s explanations, on the other hand, are like someone wrote you a "Smart Person’s Guide for Dummies," even remembering the confusion you scribbled in the margins of your notes last week.

Of course, this requires massive contextual feeding (don’t expect to unlock it with just two magic prompts). But what’s truly terrifying is that when AI starts leveraging its structured thinking—beyond human capability—to enhance learning, the rules of education might really be about to change.

Now I need to go tend to my garden to cool off—after all, digesting knowledge too quickly can be intoxicating.