This is EXACTLY it.

PWC recently announced they would not be using AI instead of audit juniors, because juniors need to learn subjective judgement to perform as seniors. Once you’ve crunched lots of numbers, anomalies stare you in the face.
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It’s an education problem more than an execution problem— it is a tool OK to use AFTER you have learned to distinguish important elements and have a good base of knowledge to judge the output. This hold for my discipline as well.
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This is why for years I’ve discouraged undergraduates (or discouraged their professors from encouraging them) from using Google Scholar in lieu of subscription databases. It takes experience to know how to differentiate scholarly articles from other content that ends up in your search results.
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Except the research increasingly shows that it degrades your skills the more you use it, so it's probably not okay that anyone use it (if they want to retain those skills).
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The learning however never ends - unless the person ends it by relying too much on LLMs. Everyone will define the moment of when they've learned "enough" individually of course, but I reckon on average they (will) think they've reached this point too early.
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Working in dozens of programming languages and tools has led me to be extremely cautious with minor formatting errors. Even when they aren't directly causing compilation or logic errors, spacing inconsistencies pile up to become unreadable, unmanageable code over time.
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