Mejdi Sadriu
José Wheeler
Identifying and auditing reasoning circuits in LLMs within Algoverse 2026 using Sparse Autoencoders (SAEs).
Sergey
Fund demonstrated/rigorous quantitative researcher (already run reproduction/audit pipelines on published economics) for 6-month AI safety transition, shipping
Matthew Farr
Probing possible limitations and assumptions of interpretability | Articulating evasive risk phenomena arising from adaptive and self modifying AI
Aditya Raj
Current LLM safety methods—treat harmful knowledge as removable chunks. This is controlling a model and it does not work.