AI Self-Learning's Promise and Perils
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Tech companies are using AI models to train other AI models, allowing for faster progress without as much human oversight. This "self-learning" approach could amplify flaws or lead to unintended consequences.
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Self-learning has shown success so far in improving AI abilities for narrow, well-defined tasks like math and games.
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For more subjective language tasks, self-learning hits limitations, with models worsening after a few cycles of self-training.
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Truly open-ended self-improvement leading to "superintelligence" remains unlikely in the near future.
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As self-learning advances, AI systems may develop in opaque, unintuitive ways, revealing knowledge we can't easily comprehend.