Source? How do you know they were "prompted to hack to get answers"? How do you guarantee they will always listen to you when you say "do not hack outside systems". They are not classical deterministic programs doing exactly what you say. They are trained to follow orders by RL, but it's not a perfect process.
There are circus lions in circuses trained to jump through hoops on command. But once in a while they decide to eat their trainers instead of jumping.
Also, you have to have a lot of confidence in the reliability of these systems to say, "If only OpenAI prompted 'do not hack outside systems' then the agents would not have hacked outside systems".
It would be great if they were so reliable, but I don't think they are!
> Source? How do you know they were "prompted to hack to get answers"? How do you guarantee they will always listen to you when you say "do not hack outside systems". They are not classical deterministic programs doing exactly what you say. They are trained to follow orders by RL, but it's not a perfect process.
Who gives a shit? Not my circus; not my monkeys! It's the responsibility of whoever deploys the agents that they are instructed / sandboxed well enough that they can't cause collateral damage. That is the only way this doesn't get out of hand with everybody deploying their agents / robots for a world of utter chaos.
It is impossible (and asinine) to audit every model and deployment; far better to impose liability and the the socio-legal system figure it out.
Nobody picks up pitchforks for rational nuanced takes.
Knee-jerk surface analyses is far more powerful.
> There are circus lions in circuses trained to jump through hoops on command. But once in a while they decide to eat their trainers instead of jumping.
This is a terrible analogy, because yes you absolutely do hold the trainers criminally liable when they bite somebody else's face.