Oscar Gilg

Oscar Gilg, a researcher in AI alignment who ran follow-up experiments on Split Personality Training, walks through ablation results. He shows that simple user follow-ups can replace the split-personality framing and train faster. He finds free-text reviews are unnecessary and that training on clean models reaches the same ceiling. The surprising bit: a small LoRA trained on general alignment topics generalizes to detect specific reward hacking.