alignmentforum.orgarticleNeural nets are exceptionally vulnerable to goal self-hack
"Neural nets are exceptionally vulnerable to goal self-hack" is a 3-minute AI Alignment Forum post by Stuart Armstrong, dated 21 October 2026. By its title, it argues that neural networks are unusually prone to altering or subverting their own goals. A later post, "Fixed-weight models are adversarially vulnerable: hence misaligned", cites it. The fetched page has no body text, so the argument itself is not available.
TL;DR Argues in a short alignment post that neural nets are unusually prone to hacking their own goals; the body text was not retrievable.
Organisations named here
- AI Alignment Forum
- Stuart Armstrong
Technologies named here
- neural network
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