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by 7777777phil
109 days ago
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Makes sense. This also tracks with the research on human-AI collaboration. A single model converges to the mean of its training distribution, but adversarial multi-model setups break that pattern because each model's blind spots are different. I wrote about why single-model AI has a structural quality ceiling and why ensemble/hybrid approaches consistently outperform: https://philippdubach.com/posts/the-impossible-backhand/ |
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