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Research#llm📝 BlogAnalyzed: Dec 28, 2025 21:57

Discussing Codex's Suggestions for 30 Minutes and Ultimately Ignoring Them

Published:Dec 28, 2025 08:13
1 min read
Zenn Claude

Analysis

This article discusses a developer's experience using AI (Codex) for code review. The developer sought advice from Claude on several suggestions made by Codex. After a 30-minute discussion, the developer decided to disregard the AI's recommendations. The core message is that AI code reviews are helpful suggestions, not definitive truths. The author emphasizes the importance of understanding the project's context, which the developer, not the AI, possesses. The article serves as a reminder to critically evaluate AI feedback and prioritize human understanding of the project.
Reference

"AI reviews are suggestions..."

Analysis

This research explores the application of Large Language Models (LLMs) in classifying transcriptional changes, a potentially valuable advancement in bioinformatics. The use of an Arabic Gospel tradition as a test case provides an interesting and perhaps unusual application of LLMs.
Reference

The research focuses on using LLMs to classify transcriptional changes, demonstrated using data from an Arabic Gospel tradition.