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Show HN: Can you tell if an image is AI-generated?

aiquiz.ronsor.com

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Re: Show HN: Can you tell if an image is AI-generated?

#95

I was looking for tells, but things like landscapes or pictures where there's no hands or eyes tend not to have them as much.

If you can see a certain vagueness in a landscape, its AI. A stone/mountain/grass/river/hill can appear diffusing/blending to become something else.

Re: Show HN: Can you tell if an image is AI-generated?

#96

Earlier quoted context omitted.

> Actually no, they were not cherry picked. Except for generations which did not match the prompt at all Second sentence describes process of selection. Is there difference in English between "filtered" / "selected" and "cherry picked"? Is "cherry picked" implying extreme filtering?

Filtered is the process of removing parts from the whole. Like how a water filter removes unwanted chemicals. Selected means it was chosen. So after filtering you could make a selection from all or part of the remaining choices. Cherry picked, means selected individually to meet a goal. Selecting very bad results to be removed is almost the opposite of cherry picking. Cherry picking would be picking only the best ima…

> picking only the best images and presenting them

> they removed the worst images and showed the rest

Is removing rejects not a way to pick only the best?

Re: Show HN: Can you tell if an image is AI-generated?

#100

Earlier quoted context omitted.

Filtered is the process of removing parts from the whole. Like how a water filter removes unwanted chemicals. Selected means it was chosen. So after filtering you could make a selection from all or part of the remaining choices. Cherry picked, means selected individually to meet a goal. Selecting very bad results to be removed is almost the opposite of cherry picking. Cherry picking would be picking only the best ima…

> picking only the best images and presenting them > they removed the worst images and showed the rest Is removing rejects not a way to pick only the best?

To me, there’s no right answer, hence why I listed set of examples and ended list with etc.

Based on my own experience, selecting images that fit the prompt and images that just happened to be generally speaking a fit for the creator are different modes of producing outputs to share.

That said, as it relates to the topic of this HN post, understanding the systems, assumption, workflow, etc used to render the survey, its content, and results to me are vital to understanding what actually going on.

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