Generated during AI Safety Camp 2023 by the AI Science Team: Eleni Angelou, Cecilia Tilli, Louis Jaburi, Brian Estany. Many thanks to our external collaborators Joshua Flanigan and Rachel Mason for helpful feedback.
1. Introduction: Why science models?
Generating new science is a complex task and requires the mastery of a series of cognitive abilities. Thus, it is plausible that models trained to perform well across various scientific tasks are likely to develop powerful properties. The speculations on why that would be the case vary. In one hypothetical scenario, the training and finetuning of a Large Language Model (LLM) could lead to a consequentialist that would perform optimally given a certain objective e.g., designing an... (read 7173 more words →)