Emily Segal defines "tasteslop" as tasteful-looking design that's actually hollow—generated moodboards stuffed with Rimowa kettles and Dieter Rams books, or influencer dinners at fancy restaurants serving as taste laundering for tech bros. The core problem: when taste markers get automated or deployed without genuine discernment, they become empty signaling. Segal argues real taste requires three things. First, discernment—the ability to articulate why one thing beats another. Second, pattern recognition combining historical knowledge with intuition, letting you predict what comes next. Third, idiosyncrasy: your personal connection to something (polo because dancers wore it at your favorite party, not because Ralph Lauren is legendary) makes taste actually mean something and prevents it from being copied into oblivion by everyone. The social dimension matters most. Taste doesn't exist without an audience validating it—the same object reads as tasteful, vulgar, or camp depending on how it arrives socially. That's why copying things you think are tasteful is bad taste itself; a Togo couch or tabis are now cheugy precisely because they've been emphasized as iconic design objects too many times. Tasteslop unsettles us because it decontextualizes these objects and exposes the void inside them. As Segal's collaborator puts it: tasteslop assembles the signs of a lifestyle without the actual habitus behind it—it's curation divorced from a social body. The real threat isn't whether AI can have taste (it can't, since taste requires social validation and subjective judgment). The threat is that sloptimization is cheap and abundant enough to make people settle for worse. Taste has always required proof of work—knowledge, intuition, social positioning—but if you can outsource aesthetic discernment to AI, you're not actually exercising taste anymore. You're just signaling that you did. That's the game tasteslop plays, and it works precisely because most people won't bother learning the difference.