alt Hacker News1.2% of positives were false, right? Not 1.2% of the entire dataset.
So it would be 1.2% of that 35% positive subset. So 34.65%.
1.2% of positives were false, right? Not 1.2% of the entire dataset.
So it would be 1.2% of that 35% positive subset. So 34.65%.
No. Of pages written before GPT, so 100% of pages were not written by GPT, the detector said that 1.2% of them were written by GPT. So 100% innocent pages, but 1.2% marked as guilty. But of the 1.2% marked, 100% of them were false positives.
But my calculation was wrong too. What I should have said is, 65% were non-GPT pages, but 1.2% of those were getting flagged, or 0.78%. So 34.3% were actually written by GPT, to first order.