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antirez.com · 148 words · saved by 2 readers

<antirez> AI cybersecurity is not proof of work antirez 13 days ago. The proof of work is the wrong analogy: finding hash collisions, while exponentially harder with N, is guaranteed to find, with enough work, some S so that H(S) satisfies N, so an asymmetry of resources used will see the side with more "work ability" eventually winning. But bugs are different: 1. Different LLMs executions take different branches, but eventually the possible branches based on the code possible states are saturated. 2. If we imagine sampling the model for a bug in a given code M times, with M large, eventually the cap becomes not "M" (because of saturated state of the code AND the LLM sampler meaningful paths), but "I", the model intelligence level. read the full post at http://antirez.com/news/163 GNU and the AI reimplementations antirez 52 days ago. Those who cannot remember the past are condemned to repeat it. A sentence that I never really liked, and what is happening with AI, about software pr

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