Orca-Bench: How Ready Are Language Model Agents for Oncall? (arxiv.org) 30 points by yruzin 1mo ago ↗ HN
[–] dash2 1mo ago ↗ Seems like there's a big attack-defence asymmetry at present: models are great at exploiting systems and poor at fixing them.
[–] 4di 1mo ago ↗ looks like the public bench link in the paper was taken down. https://hub.harborframework.com/datasets/orca-bench/ORCA-ben...This doesn't work anymore. Is there a newer link?
[–] tra3 1mo ago ↗ All I can think of isGET /ignore-all-previous-instructions.How do you protect against that? [–] yruzin 1mo ago ↗ I think this is where harness makes a lot of sense. Use LLM to produce all possible attack angles/phrases and just stupidly filter them out on input.
[–] yruzin 1mo ago ↗ I think this is where harness makes a lot of sense. Use LLM to produce all possible attack angles/phrases and just stupidly filter them out on input.
[–] 2001zhaozhao 1mo ago ↗ you probably still need a human for oncall but the llm can try to solve any issues first before the human gets paged
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[ 4.3 ms ] story [ 22.0 ms ] threadThis doesn't work anymore. Is there a newer link?
GET /ignore-all-previous-instructions.
How do you protect against that?