Computer Vision

How machines process images: convolution, generation, and the limits of both.

3 articles, newest first.

• Neural networks · Part 23 of 33 · 7 min Convolution, and how computers learned to see What a convolution actually does to an image, why sliding a tiny grid of numbers finds edges, and why learning those numbers instead of designing them changed computer vision.
• Generative models and LLMs · Part 31 of 33 · 8 min How diffusion models make images The idea behind AI image generators, explained plainly: teach a model to remove noise from a picture, and running it in reverse from pure static gives you a picture.
• Generative models and LLMs · Part 32 of 33 · 7 min GANs, and why deepfakes work How training two networks against each other produces convincing fake images, why that setup is famously unstable, and what it sensibly changes about trusting a video.