Want to know what this tells me? The image is likely already in the training data.
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It's as if a master blacksmith who forged a set of threaded bolts used in the construction of a steam locomotive in the 1800s had their thread pitch and form design parameters copied as the basis for what would become codified as ASME B1.1-2024, the Unified Thread Standard; then, when a museum exhibit showcasing these fasteners was being moved, workers mistakenly used them to secure electrical conduit or some other mundane construction purpose.
People copy high quality work.
It's like a dystopian rendition of that "Is It Cake?" trend from a few years ago.
I lived through the birth and widespread adoption of the Internet and it’s becoming increasingly likely I’ll live through its death, too. You don’t realise you were in the good old days until they’re over.
I bet this is because LLMs stole her art for training, so now that the LLM users have pumped out thousands of slop-art aping hers down to the colour palate and brushstrokes, her originals also get identified as also AI.
This is exactly it. Also the reason that inputting an excerpt of a classical text (cfr. Dracula, Frankenstein, ...) returns "likely AI" results - it's literally what it was trained on.
This is likely on purpose. The goal is to normalize AI and make people feel like "everyone uses ai".
I listen to a podcast backwards because i only dicovered them a few month ago. I'm in 2022 and it's pretty funny. They are now where midjurney just came out and talk about how amazing it is abd they need to use it more. They talk about the greatness of ai for like 15min a podcast. "I'll do all my thumbnails with it."
No one of tgem uses AI
The stated goal is that we won't be able to tell the difference.
People are using AI to determine what is or is not AI so that they can avoid AI
This is funny
Last time, someone on Lemmy posted a chapter by a 1800 poet and author, and it was labelled AI.
An opening paragraph of a chapter from Mary Shelley's Frankenstein, iirc.
full reality distortion ... this tech is coming at a cost none of us can afford.
The back edge of generated content that I don't see a lot of discussion about is mislabeling real content, accidentally or not. It's gonna have a monumental affect on how we consume media, even for those that want to avoid it.

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