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LLMs criticized for lack of understanding and poor feedback capabilities

By PulseAugur Editorial · [2 sources] ·

Large Language Models (LLMs) are criticized for their inadequacy in providing meaningful feedback, particularly in contexts like peer review. Users report that LLMs often fail to grasp the proportionality of content, leading to critiques that do not reflect genuine understanding. This lack of comprehension means LLMs are not truly intelligent and can even contradict their own previous suggestions. AI

IMPACT LLMs may not be suitable for tasks requiring nuanced understanding or consistent feedback, potentially limiting their application in areas like peer review.

RANK_REASON Opinion piece from a user on Mastodon criticizing LLM capabilities.

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

LLMs criticized for lack of understanding and poor feedback capabilities

How we ranked this

Signal score
5 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Commentary
Opinion piece from a user on Mastodon criticizing LLM capabilities.
Source corroboration
2 independent sources
Multiple independent publishers reporting the same story raises confidence that it's real and newsworthy.
Topics
opinion, other
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High
Clearly on-topic for AI-industry coverage.
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Breaking (< 6h)
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COVERAGE [2]

  1. Mastodon — mastodon.social TIER_1 English(EN) · tuomov ·

    I would also critique myself several times if writing an important text – a political manifesto or something – but the # LLM s completely lack sense of proporti

    I would also critique myself several times if writing an important text – a political manifesto or something – but the # LLM s completely lack sense of proportionality. This points to them not really understanding the content. They are not intelligent. 2/2 # AI

  2. Mastodon — mastodon.social TIER_1 English(EN) · tuomov ·

    # LLM are very bad for feedback, for # peerreview . Nothing is ever good enough for them and they also contradict themselves. You have them generate a paragraph

    # LLM are very bad for feedback, for # peerreview . Nothing is ever good enough for them and they also contradict themselves. You have them generate a paragraph or so, improve it a little bit, ask for feedback on the improvement, and they start critiquing their own earlier change…

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