AI text watermarking and quality loss

viraptor

It's an interesting review, but it seems to mix some things together. Gruber's claim is that we shouldn't sacrifice quality, but none of those sources show that's what's happening. Having less diversity in answers could mean you're more consistently getting a better/worse/same quality answer. There are lots of people complaining about not being able to get a real temperature=0 answer - they'd actually welcome the consistency too. The practical example of not liking the sentence is not great in my opinion. Instead of just re-rolling the answer, why not continue in that thread and say what you don't like? Or request 20 alternatives, say which go in the right direction and request 20 more? Retrying from scratch with one sample is a waste of time and doesn't indicate anything about quality. Basically, it's all theoretical - show us the actual benchmarks/samples where the quality is consistently degraded.

cowlby

This already happens as Claude watermarks all my content with "You're half right, and the half that's wrong is the useful part".

ethanj8011

> Natzir Turrado, a technical consultant, actually tested this (article in Spanish) by reproducing SynthID-Text on an open model with the paper's settings and a watermark key. He asked the watermarked model five times to describe a memorable trip to a coastal town. Four of the five answers he got back opened in a near-identical way: “My heart still sings/dances when I think back to my trip to the quaint coastal town of…”. For the unwatermarked model, three opened in different ways. A test of 2/5 vs 4/5 seems to be an obviously invalid experiment.

cleandreams

It's good news. All text output should be watermarked and it should be serviceable but not exceptional or "creative."

octoberfranklin

The gaslighting by watermarking proponents is so off the charts.