Deepfake Hackathon: Truth vs. Machine
During Aurigin.ai’s challenge, you’ll take on one of the most pressing questions of the digital age: detecting AI-generated content.
Over an intense 5-hour sprint, you’ll design innovative solutions that help the world distinguish between human and machine.
The challenge:
Tech Track: Dive deep into data.
Use AI models and detection pipelines to identify AI-generated text, images, or media. Identify how transformers and diffusion networks leave subtle digital fingerprints.
Business Track: Think beyond the code.
Build a business case around detection software, from real-world applications to market strategy and the ethical implications of truth in the AI era.
WHO
Open to everybody, from first-time hackers to experienced engineers, designers, and entrepreneurs. Whether you want to experiment with models or pitch a scalable idea, this challenge is your launchpad.
WHY JOIN
Gain hands-on experience with AI model evaluation, prompt analysis, data pipelines, and product strategy, all while tackling one of tech’s most urgent global problems.
Plus:
🍕 Free pizza to fuel your creativity
💡 Mentorship from Aurigin.ai engineers and founders
🚀 Recruitment opportunities at a pioneering startup shaping the social impact of emerging tech
🏆 Prizes (to be announced!) for the most impactful solutions
WHERE & WHEN
📍 ETH HG, Zürich
⏰ Limited to 50–75 participants — apply early!
Join Aurigin.ai’s mission to keep truth in the loop.