About us
Stay in touch
Trained machine-learning systems that turn inputs into outputs: a prompt into an image, or a question into an answer. Examples range from image classifiers to large language models.
Previously, when I've worked with AI and machine learning models, it felt a bit like a black box—you train it and then you don't have much control over it. You don't really fully understand why it's producing certain inputs, which can sometimes produce interesting results.
Matt DesLauriers, Matt DesLauriers on Challenging the Image
Recently, with digital imagery, I shifted away from content that I generated in character modeling software and moved into training my own AI models. I've been working with a software engineer to develop my own custom workflows in ComfyUI.
Avery Singer, Avery Singer on the Dopamine Blowout