Some scientists can't stop using AI to write research papers

• effort

  3 205 9.7 Swift

  An implementation of bucketMul LLM inference

My experience is exactly the opposite. AI has way more domain-specific knowledge than any translator I could imagine.

I recently published effort ( http://kolinko.github.io/effort/ - got to the front page of HN two weeks ago ), and literally everything on that page was rewritten by chatgpt.

The flow is that I write it however I can, sometimes so badly that even a human professional would have difficulty to understand, then I ask chatgpt to go paragraph by paragraph and rewrite and smoothen out the text.

You can see how the website was reworked here:

https://chat.openai.com/share/e/10d7ba3f-f7eb-48cd-9250-d864...

GPT has way more domain knowledge in my area than most engineer friends I know, not to mention translators, and it managed to not just help with grammar, but with overall explanations I wrote.

Of course it fails at higher level concepts, and a plenty of things, but still - I can get more quality output from him in an hour than by working a week with a dedicated translator/editor.

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