Balancing AI Tools: Embracing LLMs for Technical Work While Valuing Authentic Personal Writing
By
ssiddharth
Needed another two minutes in the oven. A half-baked bagel.
Summary
The author expresses a nuanced perspective on AI writing tools, distinguishing between using LLMs for technical work (like coding and documentation) versus using them for personal writing and content creation. The author argues that writing reveals how someone thinks and perceives the world, and outsourcing this to AI undermines the authenticity and value of written content. While embracing LLMs for programming tasks, the author questions the purpose of reading content that someone couldn't be bothered to write themselves.
Key quotes
· 5 pulledFor me, writing is the most direct window into how someone thinks, perceives, and groks the world.
Once you outsource that to an LLM, I'm not sure what we're even doing here.
Why should I bother to read something someone else couldn't be bothered to write?
I use LLMs pretty extensively for work. Claude Code has been tearing into my token budget for months now.
I can't imaging writing code by myself again, specially documentation, tests and most scaffolding.
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