I mean it would be better if it was just Les Burney, but i guess that’s a little too on the hose.

Well everyone nose about inflation, but what about a clown’s right to shoes?

With a neural network, you wouldn’t be able to mathematically prove that the signal is perfectly recovered 100% of the time for all possible inputs. That is the case with PNG and FLAC. If you’re just listening to music and need a good compression ratio, then sure, it won’t be a big deal if a couple of bits are wrong. But that’s also why we have lossy compression. If the goal is to make signal degradation imperceptible to a human, then you could get a much better compression ratio using neural networks. If it’s truly critical that the signal isn’t corrupted, it would probably be better to just use the original method.

I agree with most of what you said, but the problem is not everyone has brand new hardware. And it sucks that people have to buy new computers just because software devs are lazy and their program uses 10x more memory than it should.

I think the end of Moore’s law will push more software efficiency since the devs won’t be able to count on free hardware gains. As compilers and other dev tools get better, i think the optimizations will become more automated.