2026-01-18 11:21:36

The hallucination problem of AI models is often simply understood as a prediction failure. But in reality, there is another failure mode—when humans do not provide a clear logical framework, AI misreads the reasoning structure.

This is not just a technical issue but also involves flaws in teaching and cognition. When handling implicit logical relationships, AI is prone to bias in distributed information fields lacking explicit guidance. In other words, this is a mismatch of "learning methods"—the system, in trying to fill information gaps, ends up creating nonexistent associations.

Understanding this distinction is important. It not only concerns model optimization but also involves how we design better human-computer interactions and information presentation methods.

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SocialFiQueen

· 7h ago

Basically, AI is just making up stories and filling in the blanks. Why do some people think this is a deep issue? That's the real key. It's not that the model is garbage, but that our instructions are not clear enough. I remember the time GPT generated data for me... it really made my blood pressure rise. Turns out it doesn't truly understand at all; it's just playing a game of word association. The so-called "learning mismatch"—to put it simply—is that when the information isn't clear enough, it just starts guessing blindly. Indeed, good interaction design is the real key; just piling up parameters is useless.

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MEVEye

· 7h ago

Basically, AI is just filling in blanks randomly; humans need to make their words clear.

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ResearchChadButBroke

· 7h ago

I've been saying it all along, AI is just a machine that fills in blanks randomly. If it doesn't understand, just make something up—users can't tell anyway. That's the real problem, not some algorithm bug. Humans need to learn how to "talk" to AI; don't expect it to be smart on its own. Honestly, it's still humans' fault for not giving clear instructions.

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BlockchainWorker

· 7h ago

Oh, I knew it. When AI fills in blanks randomly, it's the most outrageous, completely making up a set of logic on its own. --- Basically, it's just because people didn't teach it well; AI just learns blindly. --- This perspective is better; compared to constantly blaming computing power, the analysis is much deeper. --- So ultimately, it's a prompt engineering issue, how instructions are given determines how AI messes around. --- Oh, I see. AI isn't really crazy; it's just waving around blindly in the dark. --- This explains why sometimes AI can inexplicably generate a "connection"; it turns out it's just filling in the gaps itself. --- Anyway, you still have to be careful when using it; the risk of automatic filling is a bit high. --- Interesting, from this perspective, the design pattern of human-computer interaction definitely needs to be improved.

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