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Allora Labs Proves Deliberately 'Flawed' AI Models Outperform Optimized Ones

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Allora Labs Proves Deliberately 'Flawed' AI Models Outperform Optimized Ones

New York – September 07, 2026 -- Allora Labs has published mathematical proof that introducing targeted random mutations into a population of AI models allows the group to collectively outperform any single optimized model once operating conditions shift. The paper, authored by Chief Scientist Dr. Diederik Kruijssen and titled "Flawed in Nature, Perfect through Evolution," appears in Volume 3 of the journal Allora Decentralized Intelligence, spanning pages 1-32 and published September 2, 2026.