Antirez argues that unlike proof-of-work where computational resources guarantee eventual success, finding bugs with AI models doesn't scale that way. Weak models can't discover complex vulnerabilities (like the OpenBSD SACK bug) no matter how many times they're run; instead, superior model intelligence is necessary. This means AI cybersecurity will be won by those with access to better, more capable models rather than raw computational horsepower.
Models
AI cybersecurity is not proof of work
AI-driven vulnerability discovery requires superior model intelligence, not computational scale—only more capable models can find complex bugs like OpenBSD SACK, making model quality the competitive moat.
Thursday, April 16, 2026 12:00 PM UTC2 MIN READSOURCE: Hacker NewsBY sys://pipeline
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