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One of the strangest mysteries in AI is that you can average two models and get a result superior to either model alone. The weights, not the outputs. As gwern said, it’s like putting a beetle and a rabbit in a blender and getting a rabbit that can fly.
Any sort of boundary creates SOME sort of anti-correlation effect. Since within a boundary you get large changes from butterfly effects. Adding a buffer to dampen volatility of these effects probably is the improvement. (Especially for “brain farts”)
