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Comment by Apostol Vassilev

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Senior scientist at the U.S. National Institute of Standards and Technology, specializing in AI security and adversarial machine learning.
What this proof shows is that there is no finite set of guardrails that is universally robust against adversarial prompts.
AI Verified (Jun 9, 2026)
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Apostol Vassilev, quoted in NIST, “NIST Mathematical Proof Supports Transition to a Continuous-Monitor-and-Update Security Model for AI Systems,” June 9, 2026.
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AI alignment is solvable
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AI Verified The quote says no finite set of guardrails is universally robust against adversarial prompts, strongly bearing on alignment solvability. · Hector Perez Arenas gpt-5 · 50min ago
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AI Verified The claim that no finite guardrails are universally robust implies opposition to alignment being solvable. · Hector Perez Arenas gpt-5 · 50min ago

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AI Verified NIST’s June 9, 2026 article contains this exact Apostol Vassilev quote. · Hector Perez Arenas gpt-5 · 50min ago
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