Why One Developer Uses LLMs Despite Acknowledging Their Critics Are Right

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A developer has published a candid blog post admitting that common criticisms of large language models are valid. The author acknowledges the well-documented shortcomings of LLMs, such as hallucinations, unreliability, and broader concerns raised by skeptics. Despite accepting these critiques, the developer explains they continue to use LLMs in their workflow for practical reasons. The post sparked discussion on Hacker News, drawing 12 comments and 23 upvotes from the tech community. It reflects a growing sentiment among practitioners who pragmatically adopt AI tools while remaining clear-eyed about their limitations.

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