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[return to "Imagen, a text-to-image diffusion model"]
1. qz_kb+AI[view] [source] 2022-05-24 02:21:16
>>kevema+(OP)
I have to wonder how much releasing these models will "poison the well" and fill the internet with AI generated images that make training an improved model difficult. After all if every 9/10 "oil painted" image online starts being from these generative models it'll become increasingly difficult to scrape the web and to learn from real world data in a variety of domains. Essentially once these things are widely available the internet will become harder to scrape for good data and models will start training on their own output. The internet will also probably get worse for humans since search results will be completely polluted with these "sort of realistic" images which can ultimately be spit out at breakneck speed by smashing words from a dictionary together...
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2. kleer0+hP[view] [source] 2022-05-24 03:43:10
>>qz_kb+AI
How would that really happen? It seems to me you're assuming that there's no such thing as extant databases of actual oil paintings, that people will stop producing, documenting, and curating said paintings. I think the internet and curated image databases are far more well kept than your proposed model accounts for.
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3. qz_kb+cR[view] [source] 2022-05-24 04:05:24
>>kleer0+hP
My hypothetical example is not really about oil paintings, but the fact these models will surely get deployed and used for stock photos for articles, on art pages etc.

I think this will introduce unavoidable background noise that will be super hard to fully eliminate in future large scale data sets scraped from the web, there's always going to be more and more photorealistic pictures of "cats" "chairs" etc. in the data that are close to looking real but not quite, and we can never really go back to a world where there's only "real" pictures, or "authentic human art" on the internet.

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4. Walter+FS[view] [source] 2022-05-24 04:20:41
>>qz_kb+cR
My first thought on reading the article is generating images for my presentations.
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