Unverified50% confidenceOpinionExact time
Converting internal mechanical structures into human language carries a high cognitive cost (translation cost), because abstract concepts are still deforming in real time during the act of explanation.
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50%
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Long-term
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10/18/2026
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Related Claims
UnverifiedTranslation cost can be compared to serialization overhead in computer systems: converting an internal parallel, multi-dimensional structured representation into a linear natural-language stream necessarily loses parallelism and introduces latency.73% similarUnverifiedConverting natural language or informal mathematical writing into formal proofs currently still requires extensive human intervention, and the time cost may be several times to dozens of times that of the original derivation.68% similarVerifiedIn large language models, the cost of generating code (output tokens) is far higher than the cost of analyzing problems (chain-of-thought reasoning).68% similarUnverifiedContinuous spatiotemporal tokens provide large language models with the necessary physical grounding, as textual descriptions alone are insufficient to support feeding decisions.66% similarUnverified实时双向口译在技术上称为同声传译自动化(Automated Simultaneous Interpretation),长期是计算语言学难题66% similar
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