A bunch of you seem interested in taking up the challenge: having to write smarter software, wistful for the old days when it was forced on you.
Turns out, you can! There's a big domain that needs your help, today: deep learning.
A lot of the software is currently crude. For example, to train a StyleGAN model, the official way to do it is to encode each photo as uncompressed(!) RGB, resulting in a 10-20x size explosion.
There's plenty of room at the top, and never moreso in AI software. Consider it! Every one of you can pivot to deep learning, if you want to. There's really nothing special or magical in terms of knowledge that you need to study. A lot of it is just "Get these bits from point A to point B efficiently."
There's also room for beautiful tools. It reminds me a lot of Javascript in 2008. I'm sure that will sound repugnant for a majority of devs. But for a certain type of dev, you'll hear that ringing noise of opportunity knocking.
Turns out, you can! There's a big domain that needs your help, today: deep learning.
A lot of the software is currently crude. For example, to train a StyleGAN model, the official way to do it is to encode each photo as uncompressed(!) RGB, resulting in a 10-20x size explosion.
There's plenty of room at the top, and never moreso in AI software. Consider it! Every one of you can pivot to deep learning, if you want to. There's really nothing special or magical in terms of knowledge that you need to study. A lot of it is just "Get these bits from point A to point B efficiently."
There's also room for beautiful tools. It reminds me a lot of Javascript in 2008. I'm sure that will sound repugnant for a majority of devs. But for a certain type of dev, you'll hear that ringing noise of opportunity knocking.