This image is a collage that alternates between photos of Chihuahuas and blueberry muffins. The arrangement is such that it plays on the visual similarities between the two, with the muffins and parts of the Chihuahuas (likely their faces) mimicking each other in color and texture. This creates a humorous effect, as it can be initially challenging to differentiate between the muffins and the dogs.
Starting from the top left corner and moving left to right, row by row:
Blueberry muffin with spots resembling a dog’s eyes and nose.
Face of a Chihuahua with a similar coloration to the muffin.
Blueberry muffin resembling the face of a Chihuahua.
Chihuahua face with a light fur color matching the muffin’s surface.
Chihuahua face with dark eyes and nose similar to blueberry spots.
Muffin with a pattern that resembles a Chihuahua’s facial features.
Chihuahua with an expression and coloring that echoes the appearance of a muffin.
Muffin with blueberries and coloring that looks like a Chihuahua’s face.
Chihuahua with a facial expression and fur colors that mimic a muffin’s texture.
Muffin with blueberries mimicking the eyes and nose of a Chihuahua.
Chihuahua with features that resemble the spots on a muffin.
Muffin resembling a Chihuahua’s face in color and texture.
Close-up of a Chihuahua’s face with colors similar to a blueberry muffin.
Muffin with a pattern of blueberries resembling a Chihuahua’s face.
Chihuahua looking directly at the camera, with fur colors like a muffin.
Two Chihuahuas close together, with their heads resembling muffin tops.
Nah, coming from data and signal processing fields, I think AI is overused by ppl that are incompetent. There are much more elegant, measurable and efficient ways of signal processing.
Anybody can use AI, okay. But is still a shitty solution.
AI works like a black box for regular users and top AI researchers. That’s why is not a good design. As a researcher you cannot obtain direct information of what the AI model is doing inside. Just results.
Idk why you all know AI so much now. You know that AI existed since the 80’s right? xD.
Now everybody fan of it because we can waste ton of resources to run this technological abomination that’s basically the difference between now and then.
I don’t! I want people who are concerned about the misuse of AI, particularly by corporations and world governments, to learn how to use AI to fight back against our oppressors or at least make AI-powered technologies that are helpful for common people, and to archive how it works, particularly how it fails.
Wow, that’s a little too impressive. I’m guessing that image was probably in its training set (or each individual image). There are open training sets with adversarial images, and these images may have come from them. Every time I’ve tried to use ChatGPT with images it has kinda failed (on electronic schematics, plant classification, images of complex math equations, etc). I’m kind of surprised OpenAI doesn’t just offload some tasks to purpose-built models (an OCR or a classification model like inaturalist’s would’ve performed better in some of my tests).
This exact image (without the caption-header of course) was on one of the slides for one of the machine-learning related courses at my college, so I assume it’s definitely out there somewhere and also was likely part of the training sets used by OpenAI. Also, the image in those slides has a different watermark at the bottom left, so it’s fair to assume it’s made its rounds.
Contradictory to this post, it was used as an example for a problem that machine learning can solve far better than any algorithms humans would come up with.
it’s precisely that they don’t build themselves up by exploring the less privileged and really create value to society that we view them as good people. No billionaire is self-made, no billionaire is good. Eat the rich, help your communities, be kind.
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