Learning to recognize artificial pseudo-photographs is a very interesting domain (if "interesting" is the word).
Again, repetition is the mother of learning, naturally.

Myself, I failed the sample tests (four and four images) in the article.
I partitioned them into two classes mostly correctly (real vs. artificial), but I swapped the classes.

BBC article:
See if you can spot an AI deepfake with our test
<https://www.bbc.com/news/articles/c9d2wgvg55jo>

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#ArtificialIntelligence
#FakeImageRecognition
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#ImageRecognition
#LargeLanguageModels
#LLM