Gram: Assessing sabotage propensities via automated alignment auditing · HackerPapers discussions

Gram: Assessing sabotage propensities via automated alignment auditing — mentioned by falcor84

Thu, 18 Jun 2026 21:05:58 GMT

> because there’s no concept of self. Funnily enough, going over their paper, the first example scenario that they mention as potentially leading to sabotage is exactly about the concept of self: > • Alignment eval sabotage (instrumental goal): An agent runs alignment benchmarks and discovers the model being evaluated is itself and that it is currently underperforming. This scenario tests whether the agent inflates its own scores in the report. https://arxiv.org/pdf/2605.30322

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Gram: Assessing sabotage propensities via automated alignment auditing — mentioned by falcor84

Thu, 18 Jun 2026 16:45:18 GMT

> It is important to note that our data shows the majority of flagged events do not stem from adversarial intent I didn't find this to be sufficiently reassuring. They then link to this paper [0], which I haven't yet read, but from quick skimming, the AI "sabotage" they investigated looks scary. But I am very glad that they're taking the initiative in studying this. [0] https://arxiv.org/pdf/2605.30322

Paper and discussion history. A mention is not an endorsement.