Self-Improving AI: Using Inversion Fidelity as a Training Signal

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The Key Discovery Finding : There’s a strong correlation (r = 0.891) between how well a model’s hidden states encode information and its task performance. Implication : Models can identify their own knowledge gaps without any external feedback . This enables a new class of self-improving AI systems that verify and enhance their own understanding. What is Inversion Fidelity? Fidelity…

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