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Another issue is trust. When it does tell you inrormation, how do you know you can trust that?

I treat it now more like advice from a friend. Great information that isn't necessarily right and often wrong without having any idea it is wrong.



> I treat it now more like advice from a friend. Great information that isn't necessarily right and often wrong without having any idea it is wrong.

"Drunken uncle at a bar, known for spinning tales, and a master BSer who hustled his way through college in assorted pool halls" is my personal model of it. Often right, or nearly so. Frequently wrong. Sometimes has made things up on the spot. Absolutely zero ability to tell which it is, from the conversation.


You actually have a confidence measure for your friend advice. I’d trust a mechanic friend if he says I should have someone take a look at my car, or my librarian friend when he recommends a few books. Not everyone tell a lie and the truth in the same breath. And there’s the quantifier like “I think…”, “I believe…”, “Maybe…”


True, I've started to develop my own model of that. I completely trust AI models around Javascript, generic code etc. The more mission critical something is, I'm more likely to only read what it says and avoid copy pasting.

SQL I've learned I need to 100% read/comprehend the logic, too easy to be 'right' that later turns out to be wrong.

Less common / newer libraries are the least trustable. I can barely get anything working with ClickHouse/Svelte 5 etc




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