LawZero aims to demonstrate the effectiveness of Scientist AI through two experimental paths: training small models from scratch and fine-tuning existing large models. The goal is to empirically show improvements in honesty and reduced deceptive behavior, providing evidence to convince companies to invest in large-scale, from-scratch training.
Impact: High. This experimental roadmap is crucial for translating theoretical AI safety concepts into tangible, verifiable results that can drive industry adoption and secure necessary funding for advanced AI safety research.
In the source video, this keypoint occurs from 01:20:30 to 01:22:36.
Sources in support: Rob Wiblin (Host)

