Apart Research is a non-profit AI safety lab. We host open-to-all research sprints, publish papers, and incubate talented researchers to make AI safe and beneficial for humanity.
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Apart News: Hackathons in 2025 PREVIEW
In this week's Apart News we preview some of the Hackathons we are most excited for in 2025.
Rethinking CyberSecEval: An LLM-Aided Approach to Evaluation Critique
Apart Research's newest paper Rethinking CyberSecEval: An LLM-Aided Approach to Evaluation Critique looks at LLM-assisted benchmark analysis.
We produce foundational research enabling the safe and beneficial development of advanced AI.
Alex Foote*, Neel Nanda, Esben Kran, Ionnis Konstas, Shay Cohen, Fazl Barez*
Albert Garde*, Esben Kran*, Fazl Barez
Michael Lan, Fazl Barez
Clement Neo*, Shay B. Cohen, Fazl Barez*
Luke Marks∗†, Amir Abdullah∗† ♢, Clement Neo†, Rauno Arike†, David Krueger□, Philip Torr‡, Fazl Barez∗‡
†Apart Research, ♢Cynch.ai, □University of Cambridge, ‡Department of Engineering Sciences, University of Oxford
Jacob Haimes*¹, Cenny Wenner*¹, Kunvar Thaman¹, Vassil Tashev¹, Clement Neo¹, Esben Kran¹, Jason Schreiber¹
¹Apart Research, *Lead Authors
Join experts and fellow researchers as we build AI safety together.
Check out the list below for ways you can interact or research with Apart!
If you have lists of AI safety and AI governance ideas that are shovel-ready lying around, submit them to aisafetyideas.com and we'll put them into the list as we make each more shovel-ready!
You can work directly with us on aisafetyideas.com, on Discord, or on Trello. If you have some specific questions, write to us here.
Send your feature ideas our way in the #features-bugs channel on Discord. We appreciate any and all feedback!
You can book a meeting here and we can talk about anything between the clouds and the dirt. We're looking forward to meeting you.
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