Unverified50% confidenceOpinionExact time
Recurrent depth is more likely to complement chain-of-thought rather than fully replace it, and a hybrid architecture can be adopted: first performing multiple rounds of silent computation in latent space, then outputting a refined reasoning chain or final answer.
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50%
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Long-term
Relevance
9/4/2026
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UnverifiedRecurrent depth technology allows the model to iteratively compute on the same layer or module repeatedly, completing multiple rounds of thinking within hidden states (latent space) without needing to convert each step into visible textual output.79% similarUnverifiedBy externalizing intermediate steps as text, chain-of-thought equivalently extends the model's effective computational depth from the number of layers in a single forward pass to the number of layers multiplied by the number of reasoning steps.77% similarUnverifiedThe Coconut (Chain of Continuous Thought) research proposed by the MIT team allows models to perform multi-step reasoning in a continuous latent space without discretizing intermediate states into text.75% similarUnverifiedThe MAX tier extends the model's chain-of-thought depth (single-thread vertical extension), whereas Ultra's multi-agent parallelism involves multiple reasoning contexts horizontally exploring different sub-domains of the problem space73% similarUnverified推理强度低强度模式响应快但可能遗漏细节，高强度模式会进行多轮思维链推演，适合复杂逻辑或架构设计任务72% similar
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