The liar's dividend has a second payout, and devs helped build it TL;DR: The "liar's dividend" isn't just about faking things. It's about claiming real things are fake. Detection infrastructure the very thing we built to fight deepfakes is now being used as cover. This is a systems design problem as much as a machine learning one. I've been sitting with a Forbes piece on digital forensics and deepfakes for a few days, and the part that stuck wasn't the forensics. It was a phrase: "the liar's dividend's second payout." The first payout, if you haven't heard the term, comes from Chesney and Citron's 2019 paper on deepfakes and democracy. The idea is simple and brutal: once people know synthetic media exists, a bad actor can claim any real, damaging media is fake. You don't need to make a convincing deepfake. You just need enough public doubt to muddy the water. The second payout is what we built next. And I mean "we" literally — developers, ML engineers, product teams. We built detection tools.…