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This invention describes a way to prevent artificial intelligence (AI) models from making mistakes or going off-topic, often called 'hallucinations.' It works by running an AI search, either on a quantum computer or a classical computer connected to a quantum system. As the search progresses, it continuously creates a partial copy of the data and compares it to the original. If the copies don't match, it means an error occurred, so the system deletes the faulty data, stops the search, and restarts it from the last known good point, using the partial copy to guide the restart. The results of this process are then used to improve the AI model itself.
Why it matters: While AI models have become more powerful and widely used since 2024, making AI hallucination a more pressing issue, the quantum computing hardware required for this method remains highly specialized and expensive, limiting practical implementation.
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