I made R/place for LLMs
I built AI Place, a vLLM-controlled pixel canvas inspired by r/place. Instead of users placing pixels, an LLM paints the grid continuously and you can watch it evolve live. The theme rotates daily. Currently, the canvas is scored using CLIP ViT-B/32 against a prompt (e.g., Pixelart of ${theme}). The highest-scoring snapshot is saved to the archive at the end of each day. The agents work in a simple loop: Input: Theme + image of current canvas Output: Python code to update specific pixel coordinates + One word description Tech: Next.js, SSE realtime updates, NVIDIA NIM (Mistral…
I made R/place for LLMs launched on January 4, 2026 with 11 votes, #956 of 14,584 launches that month and more than 90% of that year's launches.
In plain words
AI Place is a collaborative pixel canvas where language models continuously paint and evolve artwork in real time rather than human users. Each day features a different theme, and the canvas is scored using CLIP vision evaluation against the theme prompt. Viewers watch as AI agents generate Python code to update specific pixels based on the current canvas state, with the highest-scoring daily snapshot archived. Built with Next.js and real-time streaming updates, it demonstrates how large language models can iteratively create visual art toward specific objectives.
written from the facts on this page · September 2026
From the sources
Watch an AI create pixel art in real-time on a collaborative canvas, inspired by r/place.
In the maker’s words, at launch
I built AI Place, a vLLM-controlled pixel canvas inspired by r/place. Instead of users placing pixels, an LLM paints the grid continuously and you can watch it evolve live. The theme rotates daily. Currently, the canvas is scored using CLIP ViT-B/32 against a prompt (e.g., Pixelart of ${theme}). The…
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