. I’d like to be able to combine images, like if you had the ability to mate two images and add context, write different scenarios. It’s more surprising to put something not descriptive but more open-ended and let the Dall-E try to figure out what an adjective means. I’m interested in generated imagery in relationship to motion, which I’m sure is coming sooner rather than later. And [the machine learning system] GAN imagery is the average tool; Dall-E is the next step in that direction.
The idea that there are multiple versions in Dall-E [mini] is interesting – the thing is like showing you its sketches. When you’re an insecure artist, you want to show the best of the bunch – or the opposite, when you’re insecure you want to show the whole bunch. But when you’re confident, you’re like: “This one is the best, I only need to show one.” So I think it’s cool that it’s like: here’s nine.
An image generated by the artist Rachel Rossin using Dall-E 2 and the prompt ‘biotech harpy in field at sunset’.I have a background in programming but I’m not an engineer, I’m more of a tinkerer. I’ve made a lot of my own neural networks over the years – trained on my own datasets of my image-making process – to mimic my drawing style and apply it like a filter over an image. These ranged from maybe 500 drawings to 10,000 images.
It’s important to remind people what artificial intelligence actually is. We are seeing a reflection of ourselves, and it seems like a magic black box.I can’t see what the use would be’ – Firelei BáezPhotograph: Firelei Baez/Firelei Báez[on view at the Venice Biennale], I was looking at a thousand images of hair and different sea life forms.
Source: Entertainment Trends (entertainmenttrends.net)
Really? Making children’s toys “scissor”? What is wrong with these people’s brains?
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