A team of developers has built a proof-of-concept platform that creates pixel-art AI agents designed to mimic real individuals, debuting the project at a hackathon hosted by University College London.
Called Pixel Societies, the prototype places AI-driven character sprites on a virtual campus where they hold conversations and generate signals about interpersonal compatibility.
Each agent is built on a customised large language model (LLM) and draws on publicly available data as well as user-supplied material to function as a digital twin of a real person.
Developer Joon Sang Lee framed the project's ambition in broad terms: "As humans, we only live one life. But what if we could live a million?"
Colleague Tomáš Hrdlička described the team's approach to character design, drawing on earlier work called OpenClaw: "It's like giving an agent an actually spicy personality. That's what we used to make the characters feel alive."
Testing produced mixed results, with agents occasionally hallucinating details or falling back on generic conversational lines.
Researchers quoted alongside the project cautioned against over-interpreting compatibility signals derived from profile data alone, with Paul Eastwick describing compatibility as "more of a growth process."
Nicole Ellison, who studies online social platforms, acknowledged the broader cultural pull of the concept: "The appeal of outsourcing that, just as we're outsourcing so many other things, I can understand."
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A few hundred users have tried the prototype so far.
The developers intend to develop Pixel Societies into a continuously running social platform, though they have not finalised a business model, with options including avatar customisation items and paid simulation credits under consideration.
The recap
- Prototype runs personalized AI agents in a simulated virtual campus.
- Built at a two-day University College London hackathon.
- Developers plan to evolve the prototype into a social platform.
