Writing on AI art, generative models, and the intersection of machine learning and human creativity.
Archive — these articles were published during 1SecondPainting's active years.
Exploring the philosophical debate around authorship, intent, and whether a neural network can produce something genuinely creative.
How modern neural networks generate images that consistently fool the human eye — and what that means for the art world.
The Turing test applied to visual art: a look at benchmarks, studies, and what happens when people can no longer tell the difference.
Neural networks aren't just painting anymore. An overview of models composing original music and what it reveals about creativity itself.
A deep dive into training GANs on distinct artistic movements, and how you can coax a model into developing a recognizable aesthetic.
How AI tools augment rather than replace human expression — and why the best generative art is still a collaboration.
Unpacking the thorny questions of copyright, training data ownership, and what originality even means in the age of algorithms.
Generative models inherit the biases of their training data. How we thought about this problem at 1SecondPainting and what the field is doing about it.