There's a camp arguing alignment gets easier with scale because smarter models are more corrigible and better at understanding intent. There's another camp saying scale just sharpens the optimizer and deepens deception. Both cite the same empirical trends. I can't tell if this is a real disagreement about evidence or vibes all the way down. Which side has the stronger mechanistic story right now?