Join us for a groundbreaking exploration of AI model internals, where we'll dive deep into mechanistic interpretability and feature manipulation. In partnership with GoodFire, we're bringing you unprecedented access to state-of-the-art tools for understanding and steering AI behavior.
Whether you're an AI researcher, a curious developer, or passionate about making AI systems more transparent and controllable, this hackathon is for you. As a participant, you will:
Register now and be part of the movement towards more transparent, reliable, and beneficial AI systems. We provide access to Goodfire's SDK/API and research preview playground, enabling participation regardless of prior experience with AI observability.
As AI models become more powerful and widespread, understanding their internal mechanisms isn't just academic curiosity—it's crucial for building reliable, controllable AI systems. Mechanistic interpretability gives us the tools to peek inside these "black boxes" and understand how they actually work, neuron by neuron and feature by feature.
While participants are welcome to use their existing setups, GoodFire's API brings exceptional value to this hackathon as a primary option for participants.
GoodFire provides:
The hackathon serves as a unique opportunity for GoodFire to gather valuable feedback from the developer community on their API/SDK. To ensure all participants can pursue ambitious research projects without constraints, GoodFire is providing free compute credits to every team.
To ensure you're well-equipped for the Reprogramming AI Models Hackathon, we've compiled a set of resources to support your participation:
"I learned so much about AI Safety and Computation Mechanics. It is a field I have never heard of, and it combines two of my interests - AI and Physics. Through the hackathons, I gained valuable connections and learned a lot from researchers with extensive experience." - Doroteya Stoyanova, Computer Vision Intern
A local hub for the hackathon on the EPFL campus (luma coming soon). We will provide a room, snacks and drinks for the participants.
A local hub for the hackathon on the EPFL campus (luma coming soon). We will provide a room, snacks and drinks for the participants.
Each team should submit a research paper that includes:
Additionally, teams should provide:
Submissions will be judged based on the following criteria:
Q: Do I need extensive AI experience to participate?
A: While some AI knowledge is helpful, we welcome participants of all experience levels. Our resources and mentors will help you get started.
Q: What kind of projects can I work on?
A: You can work on any project related to AI observability, model behavior modification, or mechanistic interpretability. Check out our Project Ideas section for inspiration.
Q: How are teams formed?
A: You can form your own team or join our team-matching sessions at the beginning of the hackathon to find collaborators.