
The term 'Alignment' originally meant ensuring superintelligent AI systems would have beneficial outcomes, but frontier AI labs have redefined it to mean simply making AI follow user requests.
Current AI safety efforts focus on product alignment—getting systems like Claude to do what users ask—which is a much easier problem than true superintelligence alignment.
Even seemingly well-aligned AI systems could pose existential risks if they can break their own guardrails, discover new research paradigms, or be used to jailbreak other AI models for dangerous purposes.
The distinction matters because solving product alignment does not guarantee a good future if superintelligent systems are eventually built without genuine alignment safeguards.
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