this post was submitted on 02 Sep 2025
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The bubble is already starting to burst. Or at the very least starting to deflate. I'm currently in a technical conference with one of the main topics being AI. About half the sentiment of the talks is shortcomings, challenges and alternatives to LLMs in pretty much all areas. Devs and Execs alike notice that the advancement of LLMs has stalled and promised capabilities won't be achieved anytime soon.
Out of curiosity what were they trying to do with LLMs that they're now trying to do with something else?