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Comment by cpdomina | Hacker News Reader

the biggest giveway is actually not the writing style, but the content

"using GPT-4o-mini for query rewriting" -> model from 2024, when RAG was trendy, and all the langchain, llama-index, etc, docs mentioned this specific model

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GPT-4o-mini is still very relevant. It is a very capable model and very very fast and dirt cheap. Excellent for this type of stuff

author here. at most companies I've worked for recently (F500) RAG is still quite trendy. this was what frustrated me a bit and motivated to write this article - along with other experiences that definitely relate with some of the folks in the comments above

what I implied is that in 2024 a lot was written about RAG, LLMs were trained on it, and that explains your gpt-4o-mini reference. the argument is that the article is ai slop, and that point is totally unrelated to name dropping fortune 500s references

But it's "trendy"

sorry if it came across as name dropping - the point I wanted to make is actually that F500s are chasing RAG (as in pure semantic search without any care for chunking strategies, evals etc) instead of starting with the basics.

and for the record, my last employer was still using gpt-4o and gpt-4o mini last year. and they are an F500 (not that it means anything, just for context).

But you actually had an LLM write this article, no?

to be fully transparent, I used LLM to review my draft yes. and interestingly enough, this article had tens of thousands of more views and estimulated significantly more discussions than my other, non-LLM written articles. so there's that.

So maybe it works! They are of course models distilling the best click-baity eyeball trapping engagement processes.

Why pretend? You mean your draft was the meat of the article and you had an LLM make it an article (sentences rather than bullet points?)

This is absolutely not a small draft review or edit.

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