Well, give it a shot -- you'll likely find that that technique doesn't work nearly as well (at least with Pangram 4) as you think it might. When we had Max on the podcast[0], Adam explicitly asked him about exactly this (after all, you can give an LLM access to Pangram and let it iterate!), and Max reported that someone had attempted to do this -- and ended up burning through $700 in tokens and had a "sad Claude." Another interesting bit: according to Max, newer models are diverging more from human writing not less. I think that that was more anecdotal than quantified, but an interesting comment nonetheless.
[0] https://oxide-and-friends.transistor.fm/episodes/ai-detectio...
99% of college essays and pretty much everything “product” in corporate America is now LLM generated with some marginal oversight. It passes muster for the most part.
Talking about attempts to bypass ML detection:
>This argument can probably be leveled at vanilla raw output from an LLM, but even the slightest attempt at obfuscation bears solid fruit
Whoops, disproven by bcantrill's comment:
https://news.ycombinator.com/item?id=49582629
Let's talk about the detection ability of corporate normies instead:
>pretty much everything “product” in corporate America is now LLM generated with some marginal oversight. It passes muster for the most part.
Goalposts: moved.