#Chain of Thought

A Reddit post argues that Chain of Thought \(CoT\) reasoning suffers from faithfulness and cost issues, promoting latent reasoning methods such as Coconut, HRM, RecursiveMAS, and BDH as the next wave for LLM reasoning. This critique challenges the dominant CoT paradigm, potentially shifting research toward more efficient and scalable reasoning approaches, particularly for high-stakes applications where interpretability and cost are critical. CoT traces can be unfaithful to the model&\x27;s actual computation and inflate latency and cost. Latent methods like Coconut \(continuous thought steps\), HRM \(hierarchical planning\), and RecursiveMAS \(latent agent communication\) reduce token usage but introduce black-box interpretability challenges. BDH offers native interpretability hooks and recoverable graphs.