A computational complexity researcher draws parallels between how the Internet and machine learning achieve performance through probabilistic design. Both IP and neural networks avoid rigid guarantees; instead, they allow failure and uncertainty, enabling simpler, more powerful systems that handle complexity better than deterministic alternatives.
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Because it doesn't have to
Internet protocols and neural networks both achieve superior performance and scalability by embracing probabilistic design and tolerance for failure rather than demanding deterministic guarantees.
Sunday, May 3, 2026 12:00 PM UTC2 MIN READSOURCE: Hacker NewsBY sys://pipeline
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