AI RESEARCH
Epistemic Compression: The Case for Deliberate Ignorance in High-Stakes AI
arXiv CS.LG
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ArXi:2603.25033v1 Announce Type: new Foundation models excel in stable environments, yet often fail where reliability matters most: medicine, finance, and policy. This Fidelity Paradox is not just a data problem; it is structural. In domains where rules change over time, extra model capacity amplifies noise rather than capturing signal. We