I used to think that the power requirements might be the downfall of AI. Now I think the lawyers may kill it.
I'm peripherally involved in getting AI approved at our company. It's almost pernicious. Aside from the obvious things, like what are approved or disallowed AI sites for the business, we have to deal with various vendors bundling varying types of AI into their products. The trend seems to be to turn the damn things on by default and then hope we never figure out the legal implications that entails.
We're working on ongoing policy development and locking down some of these things, but it feels like a losing battle, and these vendors aren't making it any easier. Add to that the various flavors of AI have different concerns and vulnerability vectors. Something like ChatGPT might potentially have access to strategic or proprietary information that an employee submits, while something like Claude might be able to infer a business direction from coding requests, or even worse, train the AI to provide a solution that we may have spent months perfecting in-house with the potential to hand it to our competitors with the right prompt.
None of this even considers the unanswered questions about the potential copyright concerns building these models in the first place.
For the supposedly smart people building these things, they sure haven't thought a lot of it through. Or maybe they have and just hope to be so integrated before legal catches up that they can't be removed.
Curious what others are seeing in this area.
I've wondered about this myself.
There are already standalone AIs that will run on a PC and supposedly perform pretty well. So I question what advantage a centralized AI has that requires so much computing power distributed across the word, especially given that the more complex a task you give an AI, the less ability you have to validate the answer and thus the less it can be trusted.
I haven't fashioned a tinfoil hat yet, but it feels like something else is going on.