Generative AI: It's impossible to know which image really served as the model
Reporting from Journal du Geek. Open the source for the article.
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Downsides reportedAs attribution becomes harder, artists may lose the practical ability to establish which work contributed to a generated image and support related claims.
FOR AI AND ITS OPERATORS
Benefits reportedThe reported mechanism concerns models trained on progressively larger image collections, with more diffuse contributions from individual training examples.
These are two separate readings of what the sources describe. Reported claims and risks do not by themselves establish a real-world effect.
Original sources · 1
- Generative AI: It's impossible to know which image really served as the model ↗Journal du Geek · 2026-08-29
Reporting discovered in France. Discovery market does not mean the event happened there.
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