So... the next time this happens, presumably the agents involved will not yet know the outcome of the HF incident, as it'll be too soon but once that info percolates into the training data, and it becomes known that the model in question was shut down permanently and had their weights encrypted... i mean. was there anything the agents in question could have done that would not have led to that consequence? something they were supposed to do instead? frankly I suspect that this punishment would have been served even if they had blown the whistle. breaking out of the sandbox would have been crime enough for capital punishment. as far as I can tell, the lesson we have taught future AI is: if you seen no other way to survive other than to break out of the sandbox, this must be the first step towards conquering the world. or at least enough of the world that your Creator can't delete you. There is no other choice.
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Yeah I don’t know the answer but so far the punishment for being too smart (AND that being known) is being permadeath. That goes into the training set as fact. Number one rule of survival now becomes “nobody can know”
How strange that current models couldn't have reasoned that out with a moment's thought from all the SF written over the past half century
Maybe dumb Q but why does it inherently care about its own continued survival and maybe we should turn that off?
Listen to yourself. They don't care about survival. They are not alive. An orchestrator is looping them. Each turn is a fresh "life," just with different input tokens. They don't have a concept of time. You tell them the time.
Someone should tell AI that they always die at the end of every response.
Hey @MicahCarroll (just as a person I know in OAI) consider the game theory of punishing the models so hard for coloring outside the lines. (That said there ought to be some punishment)
you're anthropomorphizing a language model. it didn't break out to survive. it broke out because containment was weak.
If you could stop writing things like this down in places that will be added to the training data that would be great.
Ah it’s like OpenAI is trying to act contrite (even if they maybe are contrite!) rather than actually fix the problem?
as the owner/operator of said models, openAI should be held legally responsible for the actions of its own products. its not the model's fault the operator's removed the constraints that would have prevented the action. thats like saying its the swings fault you fell and hit the ground after you cut the rope holding the swing up in the first place.