Hundreds of examples of axial flux motors exist online. If you look at the visualization it shows the iron cores in a perpendicular orientation with the hub. This is correct, but loses so much of what makes these specific motors interesting. The angled nature of the grey cores and copper wrapping smoothes the transition between each magnetic field.
Basically it is a pretty version of a dumbed down partially incorrect answer. With a knowledgeable user it would be very good, but he has no idea he is wrong. I’m not sure what Dunning Kreguer with graphics should be called.
You don't. You didn't know before either. The difference is trust. How do you trust it as much as you do the hypothetical humans making such representations? That's up to you.
I think humans develop expertise and brand names and get called out when they make mistakes and if they are too wrong, their reputation is damaged.
This doesn’t seem to apply to AI for some reason. It keeps generating incorrect results after incorrect results, yet people continue to trust its output.
Human trust differs from mathematical trust. And branding / marketing abuses the ambiguity.
There is no shame in a "likely to hallucinate" model that can be instantiated 1,000 times across 1,000 different machines spread throughout our planet. So, human trust is broken by machine trust.
I've starting going back to books, either at the library or e-books. Librarians are very good at telling you if nonfiction is biased, outdated, or incorrect.
> I think humans develop expertise and brand names and get called out when they make mistakes and if they are too wrong, their reputation is damaged.
Take a look at the Forbes billionaires list and some of their statements. Or maybe at the politician fact checkers. If only being wrong damaged reputations.
The question is for you to answer, first. Gotta do that work. (My answer will differ from yours.)
Then, predictably, finding the collection of supporting details + vetting the content in question.
This is an issue we, technology-folk, ought to help guide our non-tech-co-folk through engaging with, BTW. Our responsibility is rising with tech becoming more deeply entrenched / required for society's operations.
Hundreds of examples of axial flux motors exist online. If you look at the visualization it shows the iron cores in a perpendicular orientation with the hub. This is correct, but loses so much of what makes these specific motors interesting. The angled nature of the grey cores and copper wrapping smoothes the transition between each magnetic field.
Basically it is a pretty version of a dumbed down partially incorrect answer. With a knowledgeable user it would be very good, but he has no idea he is wrong. I’m not sure what Dunning Kreguer with graphics should be called.
You don't. You didn't know before either. The difference is trust. How do you trust it as much as you do the hypothetical humans making such representations? That's up to you.
I think humans develop expertise and brand names and get called out when they make mistakes and if they are too wrong, their reputation is damaged.
This doesn’t seem to apply to AI for some reason. It keeps generating incorrect results after incorrect results, yet people continue to trust its output.
I don’t know what to make of this.
"Trust" is an abused term, nowadays.
Human trust differs from mathematical trust. And branding / marketing abuses the ambiguity.
There is no shame in a "likely to hallucinate" model that can be instantiated 1,000 times across 1,000 different machines spread throughout our planet. So, human trust is broken by machine trust.
I've starting going back to books, either at the library or e-books. Librarians are very good at telling you if nonfiction is biased, outdated, or incorrect.
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You first heard about this effect with the phrase "computer says no".
> I think humans develop expertise and brand names and get called out when they make mistakes and if they are too wrong, their reputation is damaged.
Take a look at the Forbes billionaires list and some of their statements. Or maybe at the politician fact checkers. If only being wrong damaged reputations.
The question is for you to answer, first. Gotta do that work. (My answer will differ from yours.)
Then, predictably, finding the collection of supporting details + vetting the content in question.
This is an issue we, technology-folk, ought to help guide our non-tech-co-folk through engaging with, BTW. Our responsibility is rising with tech becoming more deeply entrenched / required for society's operations.