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Users share LLM failures: ChatGPT and Claude struggle with simple tasks

By PulseAugur Editorial · [1 sources] ·

Users on Hacker News are discussing simple tasks that large language models like ChatGPT and Claude consistently fail to perform. Common frustrations include issues with code generation, particularly in complex or niche scenarios, and difficulties in adhering to specific formatting or output requirements. The discussion highlights the ongoing gap between the perceived capabilities of LLMs and their practical limitations in everyday use. AI

IMPACT Highlights persistent limitations in current LLM capabilities, indicating areas for future development.

RANK_REASON User discussion about limitations of existing LLMs.

Read on HN — claude-code stories →

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

Users share LLM failures: ChatGPT and Claude struggle with simple tasks

How we ranked this

Signal score
6 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Commentary
User discussion about limitations of existing 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, product
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. HN — claude-code stories TIER_1 English(EN) · davidest ·

    Ask HN: What is one simple thing LLMs are insanely bad at?

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