Ask HN: Neural Nets for lossy image compression?

Lossy image compression basically means compressing limited information for human eye to perceive the essentials of the image.

So we skip information which human eye cannot perceive and which is redundant (i.e. which is not necessary to understand the essentials of the image).

Neural Nets are amazing at figuring out what human eyes can understand. Can't they be used for some amazing lossy image compression?

IMO, No hard-coded algorithm can work as well as a neural net to figure out how much information is needed for the human eye to understand an image.

What do you think? Also are there any discord/other channels to discuss data compression?