Ask HN: Is anyone else getting AI fatigue?
Engineers are always building things that are incredible, then turning their back on it as ordinary once the problem is solved, “oh that’s so normal, it was just a little math, a little tweak, no big deal”.<p>AI has gone through a lot of stages of “only X can be done by a human”-&gt; “X is done by AI” -&gt; “oh, that’s just some engineering, that’s not really human” or “no longer in the category of mystical things we can’t explain that a human can do”.<p>LLM is just the latest iteration of, “wow it can do this amazing human only thing X (write a paper indistinguishable from a human)” -&gt; “doh, it’s just some engineering (it’s just a fancy auto complete)”.<p>Just because AI is a bunch of linear algebra and statistics does not mean the brain isn’t doing something similar.  You don’t like terminology, but how is re-enforcement “Learning”, not exactly the same as reading books to a toddler and pointing at a picture and having them repeat what it is?<p>Start digging into the human with the same engineering view, and suddenly it also just become a bunch of parts. Where is the human in the human once all the human parts are explained like an engineer would. What would be left?  The human is computation also, unless you believe in souls or other worldly mysticism. So why not think eventually AI as computation can be equal to human.<p>Just because Github CoPilot can write bad code, isn&#x27;t a knock on AI, it&#x27;s real, a lot of humans write bad code.