I'm an electrician.
I dare you to use ChatGPT to wire a plug.
This is why AI is absolute horse shit.
@nomenloony Live to Earth - yikes! Even looks wrong to me and I only know basic electronics.
@nomenloony looks like Google's Gemini got it right.
@skyfire747 @nomenloony The problem with AI is you don’t know when it’s wrong.
🦆
@drahardja @skyfire747 @nomenloony @blogdiva
My favorite quote about LLMs is that they are extremely effective for people who already are domain experts on the topic
The UX fail of the century is for every one of these companies to not append “teach me how I would verify this is true?” to every single prompt.
The skill it takes to use the tech is higher than the avg user is going to invest. Every single maker of chatbots has ignored this from day one.
@nomenloony What the flippin’ hell 😳🙀
Just so ya know I am *NOT* an electrician and I am freaking out at this image 🙀💀!!!
“We’re doomed” 💀
(Please play in your head Bernie Sanders’ doppelgänger/distant cousin when he said that exact line 😹)
@nomenloony
My understanding of AI ( which is none really) is that it generates a solution, answer, whatever is being sought, from a vast source of data.
So then , is the vast source it collects it from, wrong to begin with. Or at least the majority is wrong, being non human the IT machine can't see that, so it assumes it's giving the correct answer or solution to the request and so the human who requested it believes it to be correct because it's IT.
I'll stick to human to human for now.
@BigD It generates some text, or in this case an image, that looks like an answer. The problem is, ”looking like an answer” is often not a very useful property, unless you’re trying to find something to write on a test, which is all these machines are trained to do.
@ahltorp Then it will have the correct answer in time to come I assume. Just needs to learn more. Sounds almost human -:)
@BigD it does not learn
it is trained by humans who think something is wrong to not repeat the exact same thing, and with enough iterations the result are things that to laypeople look alright
like the image on the left