newsReddit r/MachineLearningTrust 52 · CommunityPublished 1mo agoLive · 1mo ago
Does anyone have a name for that subtle "Sameness" creeping into model outputs lately? [R]
I've been running a lot of comparative evals across recent model releases—both API and open-weight—and there's a pattern I can't unsee. After a certain number of turns, or when you push into niche territory, the outputs start converging. Same cadence. Same hedging phrases. Same blind spots. It's not full collapse. It's a kind of... homogenization. A creep. My working theory: we're deep enough into the synthetic data flywheel now that we're seeing t
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