AI Safety Research · Cambridge, United Kingdom
Geodesic
Research
The shortest path to impact
About Us
We build robust initialisations for alignment—base models shaped through pre- and midtraining to hold up under capabilities reinforcement learning.
Geodesic Research is a UK-based technical AI safety organisation focused on compute-intensive alignment research. Our seminal work on alignment pretraining showed that you can bake alignment priors into base models, and the broader field is now converging on the approach.
Long-horizon capabilities reinforcement learning is emerging as a critical and underexplored threat to alignment—degrading alignment properties across evals and selecting for behaviours like metagaming, sycophancy, and reward hacking. Our agenda is to design midtraining and early post-training interventions that create initialisations where alignment persists through the rest of training.
Research Taste
Research Directions
Can alignment hold up
through capabilities RL?
Key Papers
Blog Posts
The Team
Founded in Cambridge, UK
Marshall Scholar at the University of Cambridge, where he completed his MPhil on automated research with LLMs for computational psychiatry. A former Research Manager for the ERA:AI fellowship.
Former ERA:AI fellow and University of Cambridge PhD student. Previously a machine learning engineer at raft.ai and a private equity quantitative strategist at Goldman Sachs.
Cofounder of UK AI Forum. Previously, a Experimental Neuroscience researcher at UCL and the Head of Grants for a Biotech company.
Former researcher on AISI's Safeguards team and ERA:AI Fellow. Completed a Computational Neuroscience PhD at the University of Cambridge.
Leads the alignment pretraining research agenda and has developed strong relationships with UK AI Security Institute through previous research on Deep Ignorance. Previously at EleutherAI and Microsoft.
PhD student in computer science at Imperial College London and King's College London, researching mechanistic interpretability and robustness in LLMs. Previously a MATS Research Scholar, LASR fellow, and ERA:AI fellow.
Join Us
Help build the future
of AI safety
Geodesic is hiring four additional Members of Technical Staff.
We're looking for technical staff with experience across the ML and alignment research stack: multi-GPU / HPC training and evals experience, deep familiarity with data-centric alignment methods, and an insatiable desire to improve the outcomes of developing superintelligence.
If this sounds like you, please apply.