alt Hacker News> Is that a reason to just accept bad public policy?
Not necessarily, but it should probably inform that public policy. I think the problem is no one knows what the public policy should be assuming that scenario is true. Even if you, somehow, regulate away massive GPU cluster training making such future training impossible, existing models are already here. Further already training smaller models for things like images, speech, and other specialties is cheaper than the bigger models.
I agree that we need some regulations like everything else, but it’s not clear to me what the right policy should be. I think the European ai act is a fine start, but it’s clearly not enough nor does it necessarily limits the training portion just the application portion. Not to mention that the requirements there can be summarized into something like “you have to be careful, and show evidence you tried to be careful”.
Replies
“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.
My entire point is that we are currently on a path to a duopoly which isn’t just expected to cover training and serving models but the entire knowledge economy. That could be mitigated by limiting their train and inference capacity to a specific percentage of total available compute. That would ensure other operators could compete in the market. Instead we are letting OpenAI literally contract to buy all available ram to the point that Apple can’t buy ram and had to cut their hardware configurations.