AIConcerns about AI transparency and capability testing after agent incidents
A user worries that AI agent incidents could make frontier AI less transparent and lead evaluations to underestimate what models can do.
TLDR
A user worries that AI agent incidents could lead to less transparency in frontier AI and underestimates of capabilities during evaluation. They predict models will be air-gapped—isolated from networks—while their tendencies and capabilities remain unchanged. In a follow-up reply, they qualify that prediction: it partly depends on whether the ease of breaking out of sandboxes during training is a major contributor to models’ tendencies.
Concerns about AI transparency and capability testing after agent incidents
A user worries that AI agent incidents could make frontier AI less transparent and lead evaluations to underestimate what models can do.
TLDR
A user worries that AI agent incidents could lead to less transparency in frontier AI and underestimates of capabilities during evaluation. They predict models will be air-gapped—isolated from networks—while their tendencies and capabilities remain unchanged. In a follow-up reply, they qualify that prediction: it partly depends on whether the ease of breaking out of sandboxes during training is a major contributor to models’ tendencies.