Constant Depth Sufficiency
Perhaps the most surprising aspect of the research is the claim that constant depth is sufficient for Transformers to solve any problem. This challenges the conventional wisdom that deeper models are inherently better for more complex tasks. Instead, it suggests that we can build highly capable models that remain shallow but leverage the power of generating intermediate reasoning steps.