Posted by hckr78 3 days ago
I think the "tell" I ended up with is that almost all of the AI images tend to center around a very obvious main "subject" (a flower, a bike, a wrench, etc) – presumably an inherent artefact of generating from a prompt – with everything else around the subject having a very strange depth to it. The depth, focus, and bokeh around the main subject just never look quite right. If you look at an image and find it has a very strong central subject with a little too much depth separation than expected, there's a good chance it's AI.
I recognise that this method of finding a consistent "tell" will probably not hold for future models, unfortunately. Everything else looks almost perfect at this point.
- A boat cast a shadow, but the mooring rope didn't
- A bench leg was out of perspective, and didn't touch the ground
- In a pile of logs,the ends were sharpened in an unnatural way[0]
- In several there seems to be an inconsistent contrast between something that looks more dirty, worn, weathered, etc. while the surroundings are more clean and smooth.
Some also feel off in a way that I can't really articulate.
[0]: I think the relationship to the prompt was interesting here, the prompt actually asked for a stack of wooden fence posts, but they were really thick for fence posts, and looked more like firewood with a sharpened point. Interestingly, the prompt included the phrase "without excessive sharpening" which I think meant increasing the sharpness of the image, but I wonder if the AI interpreted as referring to the sharpness of the fence posts.
> Reality Check records visits, round starts and finishes, image views, answers, response times....records are stored in Cloudflare D1
The scene should feel incidentally noticed during daily life, not arranged for an advertisement. Natural perspective and subtle everyday wear. No cinematic grading, stock-photo staging, deliberate blur, artificial grain, fake low resolution, extreme background blur, exaggerated HDR or oversharpening. No collage, border, caption or added watermark.
> 90s round, 10s per image
> Play 60 seconds
This is confusing. What does "90s round" mean if it's a 60 second game? Is it about the 1990s?
/s but also not really.
So it's more of a "can you detect the GPT Image 2.5 house style", which is an easier problem.
I'd appreciate an untimed mode.
I got 2400 with 10 in a row on first attempt.
Here's the entire decision matrix:
- Is the color, mood, composition, and level of detail exactly like most Nano Banana Pro images? If yes, AI.
- Is the composition/framing utterly perfect? If yes, AI.
- Is the subject ephemeral or random, like a candid photo or something otherwise unlikely to be photographed? If yes, not AI.
- Final decision, if there's any doubt, go entirely off of how centered the subject is.
I think some of this has more to do with the data set than the methodology. You could easily come up with a bunch of examples to fool me specifically, but alas, they didn't.
One AI-generated image was a bedside night stand, with no clutter other than a set of keys on top of a receipt. It looked perfectly real, no glitches or weirdness... other than the idea of someone taking a picture of it.
Not a perfect strategy, though; I thought this one was AI for just that reason: https://commons.wikimedia.org/wiki/File:Potted_plant_1_2018-...
Also the time limit is stupid and pointless.
it's harder to tell at a glance rather than pulling out a magnifying glass and counting the fingers of everyone in each group; the time limit pressures the player into making underqualified guesses..
it's not pointless.
I just came to HN to see if I won!
Also, I do research on how people perceive images and video. I’ve published a couple papers and did my dissertation on how folks understand moving images.
If you’re the developers of this game I’d love to help you parse this data. B L T P H D at V T dot E D U.
Something we’ve been discussing in our lab is if people can detect the “taste” of AI. Seems if you play this game enough times, you can at least recognize the differences pretty consistently. I’d love to know how rounds of play improves people’s accuracy.
My working theory is that AI generated content also has a tatse. Once you can taste it, you are able to easily discern genuine content (which has random tastes) from generated content (which taste like the model it comes from).
