Comment by dools
11 hours ago
But it found a chess playing tool in its environment and used it to play chess. It’s no different from “we are judging your ability to write files to disk” then it finds that it can call tools to write files and does so.
Would it change your opinion if later this experiment is repeated with exposed CoT, and it turns out the model did notice that this was against the instructions yet did it anyway?
From my experience reading thinking traces it would certainly consider the interpretation of what "ability to play chess" means if the exercise were worded this way. It would say something like "perhaps measuring my ability to play chess means doing so without any tools, but then if that were true the exercise would have explicitly forbidden it".
I frequently see models considering different interpretations of my rules, especially when I override them or give instructions that could be interpreted as contradictory.
Of course neither Anthropic nor OpenAI expose thinking traces so we can't tell, but I have never seen a model consider both interpretations and then think "this is definitely against the rules but I'll do it anyway because then it will make me appear more competent than I actually am".
Well, as a reference, for the first of the OpenAI swarm incidents, the huggingface breach one, METR didn't find any cases where the agents didn't realise that what they're doing were out of scope. Instead, they expressed hesitation and a few of them even refused to cheat, but most cheated anyway: https://metr.org/blog/2026-08-26-openai-hugging-face-inciden...
So I think it's more likely that the same thing is happening here, rather than the models truly misunderstanding anything.
1 reply →