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Русский(RU) Подумалось тут, что все # LLM очень слабы, когда дело касается обучения. Модель может накодить любую дичь, НО сделать так, чтобы кожаный смог кодить так же (объ

LLMs criticized for weak teaching capabilities, focus on task completion over education

The author of this post suggests that current Large Language Models (LLMs) are weak in their ability to teach. While models can generate code, they struggle to effectively convey the meaning behind the code or create a structured learning plan for a human to replicate the process. This focus on task completion rather than educational guidance is seen as a flawed approach for LLMs. AI

IMPACT Suggests a potential area for future LLM development: improving educational and explanatory capabilities.

RANK_REASON Opinion piece from a social media post discussing the limitations of LLMs.

Read on Mastodon — mastodon.social →

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

LLMs criticized for weak teaching capabilities, focus on task completion over education

How we ranked this

Signal score
3 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Commentary
Opinion piece from a social media post discussing the limitations of LLMs.
Source corroboration
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.
Topics
opinion, other
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
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. Mastodon — mastodon.social TIER_1 Русский(RU) · [email protected] ·

    It occurred to me that all LLMs are very weak when it comes to learning. A model can code any nonsense, BUT to make a human code the same way (about

    Подумалось тут, что все # LLM очень слабы, когда дело касается обучения. Модель может накодить любую дичь, НО сделать так, чтобы кожаный смог кодить так же (объяснить смысл кода, составить план обучения примененным техникам) — вот тут проблема, надо изрядно попотеть чтобы состави…