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The two category judges were unaware that Midjourney used AI to generate images, although they later said that had they known this, they would have awarded Allen the top prize anyway. [39] In December 2022, Midjourney was used to generate the images for an AI-generated children's book that was created over a weekend.
In July 2023, the fact-checking company Logically found that the popular generative AI models Midjourney, DALL-E 2 and Stable Diffusion would produce plausible disinformation images when prompted to do so, such as images of electoral fraud in the United States and Muslim women supporting India's Hindu nationalist Bharatiya Janata Party. [142] [143]
Site had been used to create fake pictures of Donald Trump being arrested and the Pope wearing a stylish coat
An image conditioned on the prompt an astronaut riding a horse, by Hiroshige, generated by Stable Diffusion 3.5, a large-scale text-to-image model first released in 2022. A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that description.
“Midjourney seemed to have the fewest controls of any AI image-generator when it came to generating images of well-known political figures like Joe Biden and Donald Trump," said Callum Hood, the ...
The digital art category had 11 participants, with 18 images in total. [8] Allen submitted three images and disclosed that he used Midjourney to create them. [ 9 ] [ 3 ] The two judges for the category later said they did not know that Midjourney used AI to generate images, but that they would have awarded Allen the top prize anyway. [ 3 ]
AI has the potential for a societal transformation, which may include enabling the expansion of noncommercial niche genres (such as cyberpunk derivatives like solarpunk) by amateurs, novel entertainment, fast prototyping, [88] increasing art-making accessibility, [88] and artistic output per effort and/or expenses and/or time [88] —e.g., via ...
Abstractive summarization methods generate new text that did not exist in the original text. [12] This has been applied mainly for text. Abstractive methods build an internal semantic representation of the original content (often called a language model), and then use this representation to create a summary that is closer to what a human might express.
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