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The Hidden Ingredients Behind AI’s Creativity
Image generators are designed to mimic their training data, so where does their apparent creativity come from? A recent study suggests that it’s an inevitable by-product of their architecture.
Mason Kamb, a graduate student studying applied physics at Stanford University and the lead author of the new paper, has long been fascinated by morphogenesis: the processes by which living systems self-assemble. Researchers long regarded locality and equivariance as mere limitations of the denoising process, technical quirks that prevented diffusion models from creating perfect replicas of images. AI is also just assembling the building blocks from what it’s seen and what it’s asked to do.” Both human and artificial creativity, according to this view, could be fundamentally rooted in an incomplete understanding of the world: We’re all doing our best to fill in the gaps in our knowledge, and every now and then we generate something that’s both new and valuable.
Or read this on Wired
