A Reddit user shows how Samsung's Space Zoom feature produces fake, generated images of the moon, highlighting how computational photography is changing photos
The Verge
Context & Ripple Effects
The moon-shot demo lands in the middle of a fast-building arc: a day earlier, the Reddit teardown of Space Zoom showed Galaxy devices producing lunar detail the sensor could not have captured, and two days later Samsung's official response confirmed a Scene Optimizer pipeline running an "AI deep learning model" over those shots. The question stopped being whether phones retouch photos and became whether the camera captures anything at all at high zoom.
Samsung's flagship camera claim — zoomed lunar detail — is now demonstrably machine-filled rather than optically captured, forcing the company into damage control over exactly how much of a "photo" Scene Optimizer generates.
Buyers of Galaxy flagships lose a reliable way to verify what their camera actually recorded at extreme zoom, since the pipeline substitutes trained lunar textures for sensor data.
Second-order effects
Rivals get dragged into the same audit: once one vendor's computational pipeline is exposed as generative, reviewers apply the identical test to Apple, Google, and others, and the Pixel 9 episode shows even well-resourced players failing it.
Platform operators inherit the credibility problem — Meta's Threads backlash shows that when synthetic imagery circulates without labels, the distribution layer, not just the camera maker, absorbs the criticism.
Third-order effects
If capture keeps converging on generation, the industry moves toward disclosure as a feature — provenance labeling and explicit AI-mode toggles become table stakes because "real photo" stops being a default assumption.
Camera marketing reorganizes around honesty about synthesis: vendors that hide generative steps risk the Samsung treatment, while ones that label them (as the Fold6's overt sketch-to-image does) can sell generation openly instead of being caught doing it covertly.
The trend: Smartphone photography is shifting from optical capture to AI reconstruction, and each unmarked generative shortcut converts authenticity from an engineering detail into a public trust problem for the whole camera supply chain.
Reddit user ibreakphotos discovers that Samsung's ‘Space Zoom’ simply replaces user's moon photos with higher-res images of the moon through a clever testing process. https://www.reddit.com/... This isn't computational photography — it's inserting imagery that simply isn't there.…
Some people really think taking (fake) pictures of the moon is more important than 5-6 years of software support, a by far better build quality, and an overall better user experience. The Apple vs Samsung debate was never a thing, nor will it ever be.
I had to write this one after watching @MKBHD's video. If we start questioning the AI used to enhance a photo of the moon, then we'll have to question every photo enhancement done by AI - including Apple's Smart HDR, Deep Fusion, and Night Mode. https://twitter.com/...
I recreated the 100x space zoom test with the moon from Reddit. My results were far less dramatic. Here's my summary: https://www.youtube.com/... https://twitter.com/...
They're almost certainly doing deep learning based super resolution — which brings up an interesting question. It's not “enhancement” of the original, as the details are dreamed up by the model (in this case overfit to moon images). At what point does it become “replacement”? htt…
Been asked about this many times before and I'll say the same, I simply do not understand the obsession with people taking photos of the moon. The moon is tidally locked to us so we see the SAME side all the time. Just download a free image and it will look much better lol. https…
Computational photography's variation on the Ship of Theseus puzzle: if you upscale pixels one-by-one through DL-based super-resolution, at which point have you replaced the original image? https://twitter.com/...
They didn't lie about anything. Samsung never claimed moon pics were *optically* produced. No shit they're enhanced to get that detail. A phone sensor is too small. you could argue that AI/Ml training / sharpening is the same thing as slapping a moon-craters-texture.png over it
I didn't get “taken” @gruber. As I explained *at the time* Samsung *uses* AI/ML & multi frame processing to achieve its extra clear moon pics. Unlike the reddit user originally said and later edited in TLDR, there is no texture overlaid. AI/ML is an ethical topic for sure https:/…
How did they discover this? 1. They downloaded a high res image of the Moon 2. Downscaled it to a blurry 170x170px image on their computer monitor 3. Took a photo of it on the Samsung with the room lights out ...and they got a magically higher-res Moon! Clever.
This feels like a nice place where to remind everyone that there is a limit on how much “real” information you can get from your sensor(s). But if you are happy with “realistic”, you can easily create very good-looking images. https://www.reddit.com/...
Interesting thread concluding that Samsung is using an AI model to replace users' blurry, super-zoomed photos of the Moon with slightly higher res textures https://reddit.com/...
@MSBpest as you can see in the reddit test it is quite literally not ‘for real’, it's just substituting a moon texture. If the moon gains a crater tomorrow, it won't be there.