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| ▲ | timacles a day ago | parent | next [-] |
| They’re not clueless they just don’t have a memory and they don’t have judgement. They create the illusion of being able to make decisions but they are always just following a simple template.They do not consider nuance, they cannot judge between two difficult options in a real sense. Which is why they can delete prod databases and why they cannot do expert level work |
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| ▲ | Jtarii a day ago | parent [-] | | >they cannot do expert level work Well this is just factually incorrect considering they are currently on par with grad students in some areas of mathematics. |
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| ▲ | liquid_thyme a day ago | parent | prev | next [-] |
| I like to think of LLMs as idiot savants. Exceptional at certain tasks, but might also eat the table cloth if you stop paying attention at the wrong time. With humans, you can kind of interview/select for a more normalized distribution of outcomes, with outliers being less probable, but not impossible. |
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| ▲ | californical a day ago | parent | prev | next [-] |
| I mean maybe it’s a losing battle today, but it is correct. So in a few years when the dust settles, we’ll probably all be using LLMs as clueless automatons that still do useful work as tools |
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| ▲ | freejazz a day ago | parent | prev [-] |
| When you're applying reasoning like this, sure, why not? What difference would it make? |
