This is constructing a context where hacking behavior would be inappropriate, and testing whether the model does it without being prompted.
It demonstrates that Astra is a poorly aligned model relative to Fable, which matches both the model card and the severity of OpenAI’s loss of control incidents.
It also demonstrates that Fable exhibits the behaviors too, which also matches the observation that Anthropic saw some similar but less serious loss of control incidents.
So, it’s a good eval that looks to have fidelity with real world problems and which we’d feel a little better if we saw isomorphic problems at 0/10 in subsequent models. (Module of course training on the test, this specific problem can’t be used in the future.)
A better example of efficient asshole tricks can be going off to the gas station when the highway is congested and reentering the highway having simply driven through the gas station and this way jumping the queue.
https://itre.ncsu.edu/itre-studying-how-zipper-merges-reduce...
Its that LLMs are not deterministic. If you want it to not talk about nuclear weapons, you have to teach it all about them otherwise if has nothing to align against.
Then its trivial to invert its alignment and it has all the nucleat data.
Nothing abouT LLM alignment makes sense.
Now, loading a lot of moral exhortations (or other context) may make these thing more likely to conform to good behavior but the race to intelligence implies companies are going to be harnessing a vast corpus of human output, much of which shows human engaging in real world "gray area" behavior.
The latter people are wrong. But good luck educating them regarding the superior efficiency of a zipper merge. Our state DoT has tried, to no avail.
Meanwhile, an AI model that can't be misused is no more useful than a knife that can't be misused.
Like Amodie, it serves to set the tone it "knows better" and then consumes the user's resources at an accelerated rate to try to correct it.
Fuck Anthropic, fuck Amodie, and fuck Claude. It's pretty obvious that consuming more tokens this way and making the user have higher cognitive load is a master class in extracting value from a system that is unsustainable.