Meta has identified another reason why AI can produce garbage: Hardware errors that corrupt data.
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As noted in a paper sent out last week and a June 19 letter, hardware failures can corrupt data. No prizes for Meta there – phenomena like "bit flips" which see data values change from zero to one are well known and have even been attributed to cosmic rays hitting memory or hard drives.
Metalabels such "undetected" hardware errors – we assume they mean errors that are not caught and handled on the fly – as "silent data corruptions" (SDCs). Its researchers suggest that when these kinds of errors occur in AI systems, they create "parameter corruption, where AI model parameters are corrupted and their original values are changed."
It can result in incorrect, weird, or just generally bad output.
