Google DeepMind finds supervised fine-tuning, not reinforcement learning, is the primary driver of safety behaviors in Gemini models
The finding replicates a year-old study by Siva Reddy
The finding replicates a year-old study by Siva Reddy
The finding replicates a year-old study by Siva Reddy
The finding replicates a year-old study by Siva Reddy
@NeelNanda5 love the intellectual honesty in admitting you were wrong publicly this part of the field needs more of that energy
At the start of this project I assumed that to fix misalignment we mainly needed to intervene on the RL stage of training, and SFT didn't matter much - I was pretty surprised to be wrong! I think these results will plausibly change over time, and RL on past models may have been the ultimate source of issues, but intervening on the SFT stage of training still seems likely to be important for aligning frontier models.