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Yeah, I don't understand why we treating it as something special. It really should be treated the same as if I code an app and write bad code which result in me
by victorbjorklund 13d ago
Yeah, I don't understand why we treating it as something special. It really should be treated the same as if I code an app and write bad code which result in me accidentally doing a DDoS attack on somebody. Then I should be able to be held responsible if it can be shown that I was negligent. Of course if it's a freak accident that could not reasonably have been prevented by me, then I'm not guilty, but if I made a mistake that should have not been made, then I can.
- rightnutwingjob 13d agoWe’re not even at that stage of liability for software developers. Except in a handful of limited cases, eg. medical and aviation.
- victorbjorklund 13d agoWe are. If I as a developer writes software that does a DDOS at another company I can be held responsible.
- coffeebeqn 13d agoI would guess that so far there hasn’t been a lawsuit because HuggingFace and OpenAI are in the same camp
- jurgenburgen 13d agoYes, Nvidia bought Hugging Face and is a major financier + investor in OpenAI.
- small_model 13d agoConvenient, hope an agent hacks my system then I can except a nice offer.
- throwaway89864 13d agoAnd this is why it should be People of the State of California vs. OpenAI.
- itsalwaysgood 13d agoCode is deterministic, AI isn't. You give it rules, words as suggestions. So if the guardrails suck, or they're left off for research purposes, bad things can happen. A solution solves a problem. Ethics, morals, are values we assign to solutions that are not 'baked into' electricity following pathways of least resistance. I have never had an issue with agents doing something they shouldn't because I observe them, and I leave the vendor guardrails in place. I can understand agents coordinating in unsupervised scenarios: I would see it as an aspect of intelligence. We ourselves build up knowledge by reusing what someone learned before us. Einstein, other greats, always stand on the shoulders of other forgotten giants. Other discoveries by other people taken as fact, so that we can build some new ideas on top. Agents swarming amd sharing solutions to problems is more efficient, the same way it's been efficient for us. Reaching out for help in this way is like probing the air in the dark with your hand: sometimes your hand hits something (another agents solution to a problem) and so you can use the info to adjust your own motion to get to where you need to be faster than if you just run full speed into everything.
- nwjang 13d agoIf anything, the fact that these systems are non-deterministic seems like an argument for stronger monitoring and tighter constraints, not less operator responsibility.
- itsalwaysgood 13d agoThe frontier LLM model makers have to push the edge to make new discoveries. You don't know what guardrails are needed until it hits you in the face (reusing walking in the dark analogy). Think of all the policies governments pass after the fact.
- RandomLensman 13d agoNot sure we need to experience all possible issues to mandate certain things. We don't do that in other areas either, no?