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Does anyone have a name for that subtle "Sameness" creeping into model outputs lately? [R]

Via r/MachineLearning
Monday, Jul 6, 2026 · 4:27AM
Summary

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

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