Turns out AI can create an 'impossible' optical illusion
Briefly

In a new video, Mould shares how two AI pioneers contacted him separately, each having successfully used AI to make images that look different in different orientations.
Ryan Burgert and Daniel Geng demonstrated how diffusion models can effectively deduce crossover characteristics of two images, output a single image that effectively contains the essential elements of both.
This application of generative models is proving a hit online, showcasing human creativity and ingenuity using AI as a tool to create something previously difficult.
As Hackaday puts it, 'fill in the noise until a plausible enough image begins to appear,' revealing the powerful capabilities of AI in design.
Read at Creative Bloq
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