Earlier quoted context omitted.
I don’t even argue that they might get useful at some point, but when I point a mouse at a button and press the button it usually results in a reliable action. When I use the LLM (I have so far tried: Claude, ChatGPT, DeepSeek, Mistral) it does something but that something usually isn’t what I want (~the linked tweet). Prompting, studying and understanding the result and then cleaning up the mess for the low price of…
These are the beginnings and it will only improve. The premise is "I genuinely don't understand why some people are still bullish about LLMs", which I just can't share.
LLMs are very useful for some (mostly linguistic) tasks, but the areas where they're actually reliable enough to provide more value than just doing it yourself are narrow. But companies really need this tech to be profitable and so they try to make people use it for as many things as possible and shove it in everyone's face[0] in hopes that someone finds a use-case where the benefits are indeed immediately obvious and revolutionary.
[0] For example my dad's new Android phone by default opens a Gemini AI assistant when you hold the power button and it took me minutes of googling to figure out how to make it turn off the damn thing. Whoever at Google thought that this would make people like AI more is in the wrong profession.