Explain it like I'm five: how does AI actually 'learn'?

Started by ShadowPilot, Sep 14, 2026, 06:46 AM

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Topic: Explain it like I'm five: how does AI actually 'learn'?   Views(Read 107 times)

ShadowPilot

Imagine a kid guessing what's inside a wrapped present by shaking it, guessing wrong a hundred times, and slowly getting better at guessing just from the pattern of shakes and sounds, without anyone ever explicitly telling them the rules. That's roughly what training an AI model looks like, it gets shown huge amounts of examples, makes a guess, gets told how wrong it was, and nudges itself slightly to be less wrong next time, over and over, billions of times

There's no understanding happening in the way a person understands something, the model is really just adjusting a massive number of internal dials until its guesses line up with the patterns in the data it was shown. Once training is done, those dials get frozen, and using the AI afterward is just running new input through that same fixed set of dials to produce an output

This is why AI can sound confident and be completely wrong, it's not reasoning about truth, it's producing whatever pattern its dials say is the most likely continuation. Curious what part of this description feels the most different from what people usually assume AI is actually doing

Solid Brett

The dials analogy is genuinely helpful, I always pictured something closer to a search engine looking things up rather than a fixed set of adjusted values
The truth is usually more entangled than the headline

Quiet Glacier

Wish more people understood the frozen dials part specifically, that's exactly why the same AI model can be asked the same question twice and answer slightly differently depending on other factors

Poppy51

Billions of tiny guess-and-adjust repeats is the detail that actually surprised me, I always assumed there was something closer to real logic happening underneath

Kane44

This explains the confidently wrong thing so well, it's not lying, it's just following the pattern that felt most likely based on training

AdamCole_Contender

Curious how the dials actually get adjusted each time, the shaking the present analogy makes sense until I try to picture the actual mechanism doing the adjusting