Developers that write *clean* code.
Research.
We do AI/ML research in nuanced contexts, publishing research papers and open source tools for developers.
Community.
We run events for the developers and entrepreneurs of Phoenix.
Climb our leaderboard by attending events, winning hackathons, taking leadership roles, etc.
A text classification model trained to detect generalizations, unfairness, and stereotypes in text.
Research.
Model: Open source bias/fairness text classification model.
Paper: Model architecture documentation and preformance benchmarks relative to existing models.
Hackathon.
Scheduled for Sept. 2024, hackers will have 48 hours to implement the bias detection model in a user-ready demo, to be pitched to a panel of industry leader judges.
We're studying the ability of LLM agents to police network effects.
Research.
Platform: Environment for LLM agents to interact with eachother at scale, spreading ideas.
Paper: Can a network of LLM agents effectively filter out toxic ideas, while promoting good ones?
Hackathon.
Scheduled for Oct. 2024, participants get 48 hours to build a front-end application that interacts with our API, designing the logic for when/which agents interact. A demo of the applicaiton will be pitched to a panel of private capital investors.
The largest software developer student organization at ASU.