개요

원천: Google Research, OpenAI Chain-of-Thought Study 날짜: 2026-05-08 지역: US 계층: L1 신뢰도: 0.87

핵심 내용

Chain-of-Thought Reasoning Hidden Cost: Intermediate Step Storage Memory Overhead

출처: Google Research, OpenAI Chain-of-Thought Study 날짜: 2026-05-08 지역: US 계층: L1 | 깊이: detailed 신뢰도: 0.87 | 논제 정합: 0.87

핵심 지표

Chain-of-thought (5-20 reasoning steps) stored in buffer = 5-20× token sequences. Each step activation memory retained for backprop = multiplicative memory scaling

요약

Reasoning traces (intermediate steps) must persist in memory for training; longer reasoning paths directly translate to larger activation buffers

Vibe Coding Economy 정합성

Reasoning step accumulation creates multiplicative memory scaling: 10 steps × baseline activation memory = 10× HBM demand

마스터 논제 점수: 0.87

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원본: P7_US_014 | 출처 URL: https://arxiv.org/abs/2201.11903

Vibe Coding Economy 정합성

마스터 논제 점수: 0.87

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원본 ID: P7_P7_US_014