People being super negative about this is a bit surprising to me.
We're reaching a point in these advances where EVERYONE is starting to worry about their job security.
And the society we live in - at least in the US - has no safety net ready for a mass replacement of workers with technology like this.
Oh AI took your software job? Good news you can still go into construction - oh wait, that's not an option either. How about housecleaning? Oh no, that's been automated too. Well sorry, we have no safety net for you. Good luck in the streets.
It will be interesting to see how messed up our political leadership lets things get before they slightly tweak their belief system.
I guess it's kind of natural because when you agree with stuff there's not much value saying "yes this is right" but if you disagree then you generally have a lot to say about why.
But also I think there are a lot of curmudgeons here. Back in my day we didn't need no stinkin robots and AI and toktik. And anyway I could make a way better robot, this is no big deal.
This is a major flaw in social media/forums that distorts public opinion so very much.
This is probably similar to what is driving negativity from other commenters too, although probably some are just concerned about an investment bubble.
This is probably what people in the 18th century thought when they saw that digesting duck automaton [1]. Technological progress isn’t a magical linear thing that always leads to things getting better over time.
There’s some very hard problems to solve before the promises made here can be made true, and it’s not a given that they will or even can be solved. Building the robot was never the hard part.
Do you know something about the brain that makes it impossible to replicate its functionality technologically?
I remain excited about AI and my master's thesis on fine-tuning transformers with LoRA. However, Hacker News has encouraged me to dive deeper and recognize that current architectures may not be sufficient. Additionally, Richard Sutton was a revelation for me in understanding how gradient descent truly works.