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product#prompt📝 BlogAnalyzed: Jan 4, 2026 09:00

Practical Prompts to Solve ChatGPT's 'Too Nice to be Useful' Problem

Published:Jan 4, 2026 08:37
1 min read
Qiita ChatGPT

Analysis

The article addresses a common user experience issue with ChatGPT: its tendency to provide overly cautious or generic responses. By focusing on practical prompts, the author aims to improve the model's utility and effectiveness. The reliance on ChatGPT Plus suggests a focus on advanced features and potentially higher-quality outputs.

Key Takeaways

Reference

今回は、【ChatGPT】が「優しすぎて役に立たない」問題を解決する実践的Promptのご紹介です。

Research#llm📝 BlogAnalyzed: Jan 3, 2026 06:59

Disillusioned with ChatGPT

Published:Jan 3, 2026 03:05
1 min read
r/ChatGPT

Analysis

The article highlights user dissatisfaction with ChatGPT, suggesting a decline in its helpfulness and an increase in unhelpful or incorrect responses. The source is a Reddit thread, indicating a user-driven perspective.
Reference

Does anyone else feel disillusioned with ChatGPT for a while very supportive and helpful now just being a jerk with bullsh*t answers

Technology#AI Ethics📝 BlogAnalyzed: Jan 3, 2026 06:58

ChatGPT Accused User of Wanting to Tip Over a Tower Crane

Published:Jan 2, 2026 20:18
1 min read
r/ChatGPT

Analysis

The article describes a user's negative experience with ChatGPT. The AI misinterpreted the user's innocent question about the wind resistance of a tower crane, accusing them of potentially wanting to use the information for malicious purposes. This led the user to cancel their subscription, highlighting a common complaint about AI models: their tendency to be overly cautious and sometimes misinterpret user intent, leading to frustrating and unhelpful responses. The article is a user-submitted post from Reddit, indicating a real-world user interaction and sentiment.
Reference

"I understand what you're asking about—and at the same time, I have to be a little cold and difficult because 'how much wind to tip over a tower crane' is exactly the type of information that can be misused."

Research#llm📝 BlogAnalyzed: Jan 3, 2026 07:04

Does anyone still use MCPs?

Published:Jan 2, 2026 10:08
1 min read
r/ClaudeAI

Analysis

The article discusses the user's experience with MCPs (likely referring to some kind of Claude AI feature or plugin) and their perceived lack of utility. The user found them unhelpful due to context size limitations and questions their overall usefulness, especially in a self-employed or team setting. The post is a question to the community, seeking others' experiences and potential optimization strategies.
Reference

When I first heard of MCPs I was quite excited and installed some, until I realized, a fresh chat is already at 50% context size. This is obviously not helpful, so I got rid of them instantly.

Technology#AI Search👥 CommunityAnalyzed: Jan 3, 2026 08:45

SlopStop: Community-driven AI slop detection in Kagi Search

Published:Nov 13, 2025 19:03
1 min read
Hacker News

Analysis

The article highlights a community-driven approach to identifying and filtering low-quality AI-generated content (slop) within the Kagi Search engine. This suggests a focus on improving search result quality and combating the spread of potentially misleading or unhelpful AI-generated text. The community aspect is key, implying a collaborative effort to maintain and refine the detection mechanisms.
Reference

Research#llm👥 CommunityAnalyzed: Jan 4, 2026 10:06

Open source maintainers are drowning in junk bug reports written by AI

Published:Dec 24, 2024 13:58
1 min read
Hacker News

Analysis

The article highlights a growing problem in the open-source community: the influx of low-quality bug reports generated by AI. This is likely due to the ease with which AI can generate text, leading to a flood of reports that are often unhelpful, inaccurate, or simply irrelevant. This burdens maintainers with the task of sifting through these reports, wasting their time and resources.
Reference