Over the last three years, companies worldwide have invested between 30 and 40 billion dollars into generative artificial intelligence projects. Yet most of these efforts have brought no real business…
Yeah. The dunning kruger effect is a real problem here.
I saw a meme saying something like, gen AI is a real expert in everything but completely clueless about my area of specialisation.
As in… it generates plausible answers that seem great but they’re just terrible answers.
I’m a consultant I’m in a legal adjacent field. 20 years deep. I’ve been using a model from hugging face over the last few months.
It can save me time by generating a lot of boiler plate with references et cetera. However it very regularly overlooks critically important components. If I didnt know about these things then I wouldn’t know it was missing from the answer.
So really, it cant help you be more knowledgeable, it can only support you at your existing level.
Additionally, for complex / very specific questions, it’s just a confidently incorrect failure. It sucks that it cant tell you how confident it is with a given answer.
Yeah. The dunning kruger effect is a real problem here.
I saw a meme saying something like, gen AI is a real expert in everything but completely clueless about my area of specialisation.
As in… it generates plausible answers that seem great but they’re just terrible answers.
I’m a consultant I’m in a legal adjacent field. 20 years deep. I’ve been using a model from hugging face over the last few months.
It can save me time by generating a lot of boiler plate with references et cetera. However it very regularly overlooks critically important components. If I didnt know about these things then I wouldn’t know it was missing from the answer.
So really, it cant help you be more knowledgeable, it can only support you at your existing level.
Additionally, for complex / very specific questions, it’s just a confidently incorrect failure. It sucks that it cant tell you how confident it is with a given answer.