Humans fail in infinitely more complicated ways than LLMs. They can have a difficult personality, a medical issue, family stress, hangover, sleep deprivation or they can just wake on the wrong side of the bed. On any given day, you never know if you will get an expert in domain X or a sleep-deprived version of the same that accidentally drops a database.
Indeed, if you remember before AI took the world by storm, HN used to be chock-full of articles about how the hiring process is broken for both employers and candidates, where you can never tell if what you see is what you get.
When I run a local LLM I get none of that. I hit the intelligence walls or buggy behaviour, but it doesn't matter if it's 8am or 8pm, the model behaves exactly the same. If something doesn't work as I wished, I can retry as many times as I wanted without the model getting angry at me.
Indeed. It's like saying "the strongest human on their best day can support the roof of this tent for hours, how dare you criticise them for being squishy humans" when someone says "why don't we make an a-frame out of wood?"
LLMs don't make a good A-frame, nor would I classify them as wood-like. People propose LLMs as solutions as if they're wooden when they're teetering contraptions of metal rods, aluminum extrusions, rubber bands, and duct tape. That can do the trick. It can't be relied on to fail reliably like a single solid material like wood.
Indeed, if you remember before AI took the world by storm, HN used to be chock-full of articles about how the hiring process is broken for both employers and candidates, where you can never tell if what you see is what you get.
When I run a local LLM I get none of that. I hit the intelligence walls or buggy behaviour, but it doesn't matter if it's 8am or 8pm, the model behaves exactly the same. If something doesn't work as I wished, I can retry as many times as I wanted without the model getting angry at me.