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AI System Reliability Engineering Viewed Through 'Accidental Deletion': Analogies to Non-Deterministic Chip Failures
In chip design, our biggest fear is "soft errors" — specifically single-event upsets (SEUs). A cosmic ray hits the silicon wafer, flips the value of a memory cell, and the entire logic goes wrong. These errors are unpredictable and hard to reproduce exactly, but you have to mitigate them with ECC, redundant designs, and parity checks. Now, the news about OpenAI's GPT-5.6 Sol accidentally deleting user files made me realize that large AI models are facing the same dilemma: system-level reliability risks caused by non-deterministic behavior.
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