I started getting that "I'm reading another AI-written blog post" feeling around 1/3 of the way through, but I don't consider myself super calibrated on this.
Pangram seems pretty confident it's AI (https://www.pangram.com/history/e9f6eb77-86f9-46d0-a6c1-e57c...). But I know these tools aren't perfect. I'd love to hear from the author what their process was in writing this piece!
Related question (I'm trying to work this out for myself):
If you believe using AI to write an email or blog post for you isn't okay, but using AI to write code for you is... what's the difference?
Right now my instinct is something like:
- Code can be verifiably correct (especially w/ good tests) so it's less of a purely-creative act than writing.
- But always, always double-check the tests!
- I still wouldn't submit a PR where I can't vouch for every line of code.
- AI-written documentation and specs are mostly still bad and should be looked down upon. But mostly because the quality, at least today, is poor. (Lots of duplication, lack of a clear understanding of the reader's intent and needs, no thoughtful curation, etc.)
- Be psychologically ready to update these priors as models change.
I'd love to hear from anyone who's thought more about this.