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293 points lapnect | 1 comments | | HN request time: 0.209s | source
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mg ◴[] No.42155156[source]
I gave it a sentence, which I created by placing 500 circles via a genetic algorithm to form a sentence. And then drew with an actual physical circle:

https://www.instagram.com/marekgibney/p/BiFNyYBhvGr/

Interestingly, it sees the circles just fine, but not the sentence. It replied with this:

    The image contains no text or other elements
    that can be represented in Markdown. It is a
    visual composition of circles and does not
    convey any information that can be translated
    into Markdown format.
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Vetch ◴[] No.42155424[source]
Based on the fact that squinting works, I applied a Gaussian blur to the image. Here's the response I got:

Markdown:

The provided image is a blurred text that reads "STOP THINKING IN CIRCLES." There are no other visible elements such as headers, footers, subtexts, images, or tables.

Markdown Content:

STOP THINKING IN CIRCLES

As the response is not deterministic, I also tried several times with the unprocessed image but it never worked. However, all the low-pass filter effects I applied worked with a high success rate.

https://imgur.com/q7Zd7fa

replies(1): >>42155596 #
1. mg ◴[] No.42155596[source]
I guess blurring it is similar to reducing the resolution or to looking at the image from further away.

It's interesting that the neural net figures out the circles, but not the words. Because the circles are also not so easily apparent from looking closely at the image. It could also be whirly lines.