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THROUGH THE LOOKING GLASS: AI image generators have grown sophisticated enough to largely eliminate early tells like malformed hands or feet. However, image forensics experts recently began focusing on laws of physics that large language models do not (yet) understand, such as those governing light and perspective.
A study published in the journal Science explains that while modern image generators are rapidly improving, the models behind them remain fundamentally ignorant of how light and geometry work in the real world. Measuring simple details like reflections or shadows can still give away a fake photo – that gap, experts argue, is now one of the most reliable ways to distinguish authentic photographs from AI fakes.
Spotting a fabricated image used to be straightforward. Early generators mangled anatomical details, rendered text as gibberish, and missed the grain and compression artifacts native to real photography. Those flaws have largely been engineered away in the latest tools, making AI-generated imagery convincing enough to fool casual viewers, which means they are increasingly likely to spread unchecked across social media.
Part of what makes these images effective is a kind of manufactured drama. They tend to look the way humans expect reality to look: vivid, cinematic, and stylized in ways shaped by decades of movies and media.
Hany Farid, a UC Berkeley professor widely considered one of the founders of digital forensics, has been exploiting a subtler weakness. He has (so far) successfully fought AI fakes by comparing small details to how they should appear in reality. AI image generators, he argues, have yet to learn a foundational lesson from any introductory art class: the vanishing point.
A study published in the journal Science explains that while modern image generators are rapidly improving, the models behind them remain fundamentally ignorant of how light and geometry work in the real world. Measuring simple details like reflections or shadows can still give away a fake photo – that gap, experts argue, is now one of the most reliable ways to distinguish authentic photographs from AI fakes.
Spotting a fabricated image used to be straightforward. Early generators mangled anatomical details, rendered text as gibberish, and missed the grain and compression artifacts native to real photography. Those flaws have largely been engineered away in the latest tools, making AI-generated imagery convincing enough to fool casual viewers, which means they are increasingly likely to spread unchecked across social media.
Part of what makes these images effective is a kind of manufactured drama. They tend to look the way humans expect reality to look: vivid, cinematic, and stylized in ways shaped by decades of movies and media.
Hany Farid, a UC Berkeley professor widely considered one of the founders of digital forensics, has been exploiting a subtler weakness. He has (so far) successfully fought AI fakes by comparing small details to how they should appear in reality. AI image generators, he argues, have yet to learn a foundational lesson from any introductory art class: the vanishing point.
