Apart Sprints

We organize monthly hackathons to engage people across the world in technical AI safety. Browse our upcoming events here.

Code Red Hackathon: Can LLMs Replicate by Themselves?

This event concluded on
Mar 25, 2024
with
entries from
signups
Mar 22
to
Mar 25, 2024
22
Mar

Code Red Hackathon: Can LLMs Replicate by Themselves?

Virtual & in-person participation
22
Mar

Code Red Hackathon: Can LLMs Replicate by Themselves?

Virtual & in-person participation
5
Apr

LLM Psychology Hackathon

Hybrid participation
5
Apr

LLM Psychology Hackathon

Hybrid participation
26
Apr

AI Governance Research Sprint

Hybrid participation
26
Apr

AI Governance Research Sprint

Hybrid participation
24
May

Model Evaluation Hackathon

Hybrid participation
24
May

Model Evaluation Hackathon

Hybrid participation

In-Person & Online

Join events on the Discord or at our in-person locations around the world! Follow the calendar here.

Live Mentorship Q&A

Our expert team will be available to help with any questions and theory on the hackathon Discord.

For Everyone

You can join in the middle of the Sprint if you don't find time and we provide code starters, ideas and inspiration; see an example.

Awards & Next Steps

We will help you take the next steps in your research journey with the Apart Lab Fellowship, providing mentorship, help with publication, funding, etc.
With partners and collaborators from
Apart > Sprints

Apart Sprints Overview

The Apart Sprints are short hackathons and challenges focused on the most important questions in AI security. We collaborate with aligned organizations and labs across the globe.

174

Projects

1,036

Participants

50+

Sprint locations
2023's Sprints in numbers

🤗 Hack away with the best vibes

🥳 Hear from previous participants

"
This Hackathon was a perfect blend of learning, testing, and collaboration on cutting-edge AI Safety research. I really feel that I gained practical knowledge that cannot be learned only by reading articles.
"
Yoann Poupart
BlockLoads CTO
"
It was an amazing experience working with people I didn't even know before the hackathon. All three of my teammates were extremely spread out, while I am from India, my teammates were from New York and Taiwan. It was amazing how we pulled this off in 48 hours in spite of the time difference. Moreover, the mentors were extremely encouraging and supportive which helped us gain clarity whenever we got stuck and helped us create an interesting project in the end.
"
Akash Kundu
Apart Lab Fellow
"
It was great meeting such cool people to work with over the weekend! I did not know any of the other people in my group at first, and now I'm looking forward to working with them again on research projects! The organizers were also super helpful and contributed a lot to the success of our project.
"
Lucie Philippon
France Pacific Territories Economic Committee
"
The Interpretability Hackathon exceeded my expectations, it was incredibly well organized with an intelligently curated list of very helpful resources. I had a lot of fun participating and genuinely feel I was able to learn significantly more than I would have, had I spent my time elsewhere. I highly recommend these events to anyone who is interested in this sort of work!
"
Chris Mathwin
MATS scholar

⚡️ Recent research sprints

🤯 Published hackathon projects

✨ More than 190 research teams

AI Safety unionization for bottom-up governance
AI Safety Subproblems for Software Engineering Researchers
AI Safety Talent Pool Identification
Analysis of upcoming AGI companies
Authority bias to ChatGPT
ChatGPT Alignment Talent Search
Catalogue of AI safety
Critique of OpenAI's alignment plan
Diversity in AI safety
New AI organization brainstorm
Risk Defense Initiative
Simon's Time-Off Newsletter
Evaluating Myopia in Large Language Models
Marco Bazzani, Felix Binder
In the Mirror: Using Chess to Simulate Agency Loss in Feedback Loops
Helios Lyons
Preserving Agency in Reinforcement Learning under Unknown, Evolving and Under-Represented Intentions
Harry Powell, Luigi Berducci
Against Agency
Catherine Brewer
Agency as Shanon information. Unveiling limitations and common misconceptions
Ivan Madan, Hennadii Madan
Discovering Agency Features as Latent Space Directions in LLMs via SVD
max max
Comparing truthful reporting, intent alignment, agency preservation and value identification
Aksinya Bykova
Uncertainty about value naturally leads to empowerment
Filip Sondej
Agency, value and empowerment.
Benjamin Sturgeon, Leo Hyams
ILLUSION OF CONTROL
Mary Osuka