Re:Deep learning is hitting a wall?
by naikrovek on Wednesday March 09, 2022 @10:58PM
(#30623076)
We are a very long way from even having 0.0001% of the compute required to produce a weak AGI.
like everything, it will take much more resources and time than we can predict today with our best estimates, partly because that's just how these things turn out, and mostly because a true AGI will likely require billions of neural networks all adapting and swapping neurons and communications pathways amongst themselves and training themselves at the same time they are doing useful work.
we have no idea how to do anything like this at scale, yet.
like everything, it will take much more resources and time than we can predict today with our best estimates, partly because that's just how these things turn out, and mostly because a true AGI will likely require billions of neural networks all adapting and swapping neurons and communications pathways amongst themselves and training themselves at the same time they are doing useful work.
we have no idea how to do anything like this at scale, yet.