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by smeeger 378 days ago
hallucinations are essentially the only thing keeping all knowledge workers from being made permanently redundant. if that doesnt make you a little concerned then you are a fool. and the predictions of all the experts in 2010 is that what is currently happening right in front of us could never happen within a hundred years. why are the predictions of experts more reliable now? anyone who dismisses the risks is just a sorry fool
1 comments

I'm a knowledge worker (electrical engineer) but not one bit worried about being replaced by AI in yhe foreseeable future. It does not only neet to be reliable, but also should be able to create, as in create physically working complex systems for me to be worried. I have not seen anything remotely close this yet.

I believe AI/ML will eventually get there but definitely not with LLMs or hoarding the whole internet. Most of the human know-how isn't on internet!

Oh, I guess I'm a fool.

you are. just change a few words around and you would be reading the confidently incorrect predictions of essentially all scientists and engineers in 2010. you say LLMs wont get us there… and you personally would probably have said word2vec couldnt get us past the turing test… and here we are. citing the existence of a current technology as evidence that another technology, related or not, cannot exist, is lazy and stupid. the simple fact is that there has been an explosion in the progress recently… a corresponding explosion of funding and the specific purpose of every single dollar of research is to create AGI, whether through LLMs or some other framework. to dismiss this situation as totally unconcerning is literally FOOLISH
That's good to hear that I'm foolish. It's always nice to be foolish.

Foolishness aside, all we have to predict the future is the current capabilities of the current technology. Bear and bull alike do this. This is the reason people believe we are closer to AGI than say couple of years ago. I have no idea how close or far off we are. What I'm interested in is the current and predictable near future capabilities of the technology.