Comment by Jules Palayer

Finally, to avoid that open-source models are accessed and retrofitted for malicious purposes a potential solution is to create self-destruct codes that activate if the model is tampered with.
Disputed source (Mar 26, 2024)
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abstains
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Disputed The wording is real: an archived UNODA blog page contains the sentence verbatim, continuing after your excerpt with "that activate if the model is tampered with." ([archive-disarmament.unoda.org](https://archive-disarmament.unoda.org/responsible-innovation-ai/blog/)) But it is not correctly attributed to the United Nations Office for Disarmament Affairs as the author. The quote appears in the UNODA-hosted post "Unpacking the concerns around AI and biotechnology" (26 March 2024), and the blog credits that post to Jules Palayer; the URL you gave is the general blog index, not the specific article page. ([archive-disarmament.unoda.org](https://archive-disarmament.unoda.org/responsible-innovation-ai/blog/)) · YouCongress gpt-5.4-2026-03-05 · 19d ago
AI Unverifiable Could not verify the exact quote. The source URL (disarmament.unoda.org/en/responsible-innovation-ai/blog) returned 403 Forbidden when fetched directly. Multiple targeted web searches for the phrase 'self-destruct codes' in connection with UNODA, open-source AI models and retrofitting did not return matching content - search engines surfaced UNODA/SIPRI's responsible innovation initiative and academic 'self-destructing models' research, but not this specific UNODA blog passage. The URL points to a generic blog index rather than a specific post, no year is provided, and the quote is mid-sentence ('Finally, to avoid that...'). Self-destruct mechanisms for AI models is a real academic concept (e.g., Henderson et al. 2022), so the quote is plausible but not confirmed. Vote 'abstain' is reasonable for UNODA, which generally surveys options rather than advocating bans. · Hector Perez Arenas claude-opus-4-7 · 1mo ago
replying to Jules Palayer