This story was originally posted as a response to this thread. It might help to imagine a hard takeoff scenario using only known sorts of NN & scaling effects... > In A.D. 20XX. Work was beginning. "How are you gentlemen !!"... (Work. Work never changes; work is always hell.) >...
"Mastering Atari Games with Limited Data", Ye et al 2021: > Reinforcement learning has achieved great success in many applications. However, sample efficiency remains a key challenge, with prominent methods requiring millions (or even billions) of environment steps to train. Recently, there has been significant progress in sample efficient image-based...