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The author claims that this kind of images shouldn't be in the training data, and agree or disagree with that, I'm unsure how much removing it would actually pr
by metalcrow 4mo ago
The author claims that this kind of images shouldn't be in the training data, and agree or disagree with that, I'm unsure how much removing it would actually prevent such images from being generated. AI can certainly cobble disparate concepts together quite well, it seems unlikely violent and visceral images couldn't be regenerated from other non-violent content.
- nozzlegear 4mo agoAI can barely figure out how to make a cartoon pelican ride a bicycle.
- bobsmooth 4mo agoGenerating SVG code and generating an image are two different things.
- nozzlegear 4mo agoWhat would the LLM generate more accurately: an svg of a pelican on a bike, or an svg of a gory, dead woman? The medium is superfluous.
- BoorishBears 4mo ago> The medium is superfluous. No it's not. Generating an SVG is asking the model to write text that can be rendered as an image. Generating an image directly skips the intermediate step and directly outputs an image: so the accuracy is in a completely different league. The models people ask for SVGs typically cannot do this, only specially post-trained variants can. (An LLM will do the svg of a pelican on a bike much more accurately btw.)
- fragmede 4mo agoAI does fine at that. LLMs have problems generating SVGs of that, but that's kind of an (intentionally) particularly obtuse test.
- km3r 4mo agoI think it speaks to the unfamiliarity the author has with the workings of AI. A misunderstanding of the latent space and how it can generate bizzare images when it has little to go off of or inverse negative directions.