“you have to be careful, and show evidence you tried to be careful”.
That sounds reasonable. If applied to OpenAI and their agents multiple times breaking out of bad secured sandboxes, it should be enough.
But limiting the training?
There really is china and they have a different approach I suppose. But it is possible to talk with them.
It seems really clear at this point China has only been able to keep pace by distillation farms.
> That sounds reasonable. If applied to OpenAI and their agents multiple times breaking out of bad secured sandboxes, it should be enough.
Does it? To me it seems reasonable for OpenAI to argue they did try to be careful evident by the sandbox, they just made a mistake. Almost every 0day is categorized by something like that. We haven’t had a long history of establishing a negligence charge to security bugs. Could you be sued because you didn’t demonstrate “carefulness” and used Linux which is not written in a memory safe language and has had multiple CVEs before? How complicated should the chain of an exploit be to demonstrate “carefulness” to the courts?
> training
OP was the one suggesting that training could be controlled because massive gpu clusters could be regulated the way a nuclear power plant could. If you assume training costs won’t drop, then it’s feasible I guess. However, unlike a nuclear reactor, the final training result isn’t a radio active material, but rather an ordinary file that anyone can load and use for inference.