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Google DeepMind's use of Chain-of-Thought data is unclear

By PulseAugur Editorial · [1 sources] ·

The nature of Google DeepMind's (GDM) training data, specifically regarding Chain-of-Thought (CoT) reasoning, remains unclear. It is not understood whether GDM intentionally incorporates CoT data into its training processes. This ambiguity persists despite the importance of CoT for advanced AI reasoning capabilities. AI

IMPACT Clarifies the ongoing debate around AI training methodologies and the transparency of major AI labs.

RANK_REASON The item is an opinion piece discussing a lack of understanding regarding a specific aspect of AI training data.

Read on LessWrong (AI tag) →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Google DeepMind's use of Chain-of-Thought data is unclear

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9 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
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Commentary
The item is an opinion piece discussing a lack of understanding regarding a specific aspect of AI training data.
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Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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paper
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High
Clearly on-topic for AI-industry coverage.
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Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

Full methodology in our editorial standards.

COVERAGE [1]

  1. LessWrong (AI tag) TIER_1 English(EN) · Alek Westover ·

    We don’t understand whether GDM intentionally trains on CoT

    <p><span style="white-space: pre-wrap;">We were surprised to notice that the </span><a href="https://storage.googleapis.com/deepmind-media/gemini/gemini_4_safety_report.pdf" rel="noreferrer"><span style="white-space: pre-wrap;">Gemini 4 Safety report</span></a><span style="white-…

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