I've spent my whole life looking at form, and I'll say it straight. The most dangerous fake photo isn't the crude one. The smooth one is dangerous - the one that looks exactly right and doesn't give you a single edge to grab onto.
Fact
The facts: on July 22, 2026, Nature published a piece on how AI-generated images are making their way into research papers - diagrams, summary figures, and sometimes images presented as data. As a cautionary example, the piece points to a case from months earlier: a biologist posted convincing western blot images (a standard lab result) online, created with a single prompt to ChatGPT. Per the publication, journals currently give little concrete guidance on AI images, and the key ethical distinction is whether the image serves to explain, or is presented as evidence. Source: Nature, 22.07.2026.
Here's what stops me. Fakery in science isn't new - people have been cutting and pasting photos for years. What's new is the price. Until recently, a good fake took skill and hours; now it takes just one sentence and ten seconds.
Until now, a good fake took skill. Now it takes one sentence.
And this isn't really about the technology. It's about trust. Science rests on one quiet assumption - that the photo in the paper shows what actually happened in the lab. Pull that assumption out, and every photo needs a second check. And a second check slows down everything and everyone.
And don't think this is only a problem for scientists. You also take 'the photo' as proof - in the news, in the ad, in the online argument. The conclusion is simple and uncomfortable: a convincing picture no longer proves anything on its own. Ask where it came from, the way we've learned to ask where the text came from. The eye alone isn't enough anymore.
Sources
Nature - Three tips to avoid AI image mistakes in science, 22.07.2026Nature - why it doesn't allow generative AI in images (policy)The visual is generated code-art, no third-party images.