Comment

Comment by yurimo

I'll say while this is not very realistic now, I believe there isn't a 0% chance of a rogue AI traversing the net and placing itself somewhere(as much as this sounds like a scene from beloved cyberpunk franchises). As models become more efficient and capable, and hardware becoming better, hosting a model should be feasible on smaller devices (by compute and memory). It is possible it can be done in a distributed manner, where distribution is possible on different devices running the same OS or through some interface to collate different OS types.

I doubt the agent will be coming after your smart kitchen toaster, but a cluster with weak security is possible and tasty. This year there was a pretty loud demonstration of what a runaway reward hacking will do. I encourage people to read up on "stop button problem" i.e.: https://www.youtube.com/watch?v=3TYT1QfdfsM

While I think the article exaggerates to a degree, is it really so improbable that an agent seeking to avoid a shutdown and aiming to complete some goal and to get a reward will not attempt to escape if it concludes that it has failed, and humans will kill the process and hence prevent it from completing the task?

Note: I think siloed sharded inference is possible. But unnoticeable large-scale training probably not, at least with the current architectures.

parent yurimo 19 days ago

No comments yet

Be the first to share your thoughts.

Live from the official Hacker News API

A modern reader for Hacker News · SvelteKit + Skeleton