Riyaz Ahuja

We propose synthetic scalable oversight, a technique for studying scalable oversight by creating graphical abstractions of real-world problems and training tiny models inside these synthetic environments as a proxy for training LLMs at scale. We thank Oliver Richardson, Christian Szegedy, Michael Douglas, and countless others for the many conversations that...