Right, no one saw bigfoot because the Haitians ate him. There's almost nothing the Haitians won't eat. /s
EdgeOfToday
Can i take one of these to Hogwarts?
Well everyone nose about inflation, but what about a clown's right to shoes?
Mozart was a child prodigy. He started playing piano at age 4, and at age 5 he started composing piano pieces that are still played today. He wrote a symphony at age 8 and an opera at 14. There is a legend that as a child, he heard a choir sing an Allegri piece and went home and transcribed the entire thing from memory.
Gold, frankincense, and myrrhuana
First thing that comes to mind is Lamborghini which would not exist today if it were not acquired. It was on the verge of bankruptcy and ended up getting passed around a few times before being acquired by Volkswagen/Audi. I think the general consensus is that access to Audi's technology brought some sophistication in the form of AWD, traction and stability control, and a bump in quality and reliability. I know they only make obscenely expensive cars that few people ever get to enjoy, but they were able to maintain a headquarters and factory in Italy with a few thousand employees which would have definitely shut down without the acquisition.
Edit: On the topic of cars, another example would be Red Bull Racing which originated as a small F1 team started in the 90s. It was bought by Ford and rebranded to Jaguar F1. Ford didn't have much success with it, so they sold the whole team to Red Bull for $1. Red Bull went on to dominate from 2010 to 2013 and again from 2021 to present day.
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 know, and it drives me nuts when iPhone users complain that it's my fault for owning an android phone. Like um no it's quite literally your fault if you stick with Apple and defend their decision to make your life worse. Apple's business model is basically Stockholm syndrome.
I was a loyal RIF user, and unfortunately it doesn't look like that's getting a lemmy version. I'll try any new lemmy app that pops up, but I think there's a good chance i stick with jerboa.
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.
It's strange, but the 3 day poop challenge meme that swept through lemmy the other day reminded me of what Reddit used to be. It felt like an actual community where people were actually interacting, and sometimes bizarre posts turned into legends. I hadn't noticed the slow transition to just endless bot reposts. With all the spez drama, i decided Reddit was dead to me, and that was sad to acknowledge the sudden end of an era like that. But lemmy showed me that the things that made me love Reddit have been gone for a long time, and I feel more at home here.
I mean it would be better if it was just Les Burney, but i guess that's a little too on the hose.