[pdelgallego]

AI algorithmic progress is outpacing Moore’s Law at it best.

Compared to 2012, it now takes 44 times less compute to train a neural network to the level of AlexNet.

How that affect self-driven car is still to be determine, but progress is very real

https://openai.com/blog/ai-and-efficiency/

[jowday]

This is only in terms of effeciency, not in terms of accuracy of overall performance.

[solarkraft]

Of course, but it's a great example - there is certainly a lot of progress in the other dimensions as well.

However this gain also directly translates to a real-world result improvement: You can now train a lot more at the same cost.