aronowb14
Joined 10 years ago
Joined 10 years ago
https://www-cdn.anthropic.com/58284b19e702b49db9302d5b6f135a...
That being said, these have been my favorites:
- designing data intensive applications (a great way of understanding systems + the basics of SRE)
- the senior engineer (I love the prototyping process he lays out)
- the effective engineer (lots of good gems for approaching prioritization)
- debugging (by David agans)- a great resource for a formalized debugging process if you don’t have one
- on writing well (I’m halfway through this, but it has been indispensable for writing tickets + messages at work)
Therapists are trained to help and give you custom things to do based on what you need. I found one that gave me a lot of structured “assignments” and questions to ask myself and I’ve never felt better than I do now.
I think as technologists we want to think that code can "solve" some of the problems in the art world... but I think we still have a really, really long way to go. I tried to get style transfer adopted at work (worked at a creative technology firm in NY) but frankly I think deep learning methods for art generation tend to be really unpredictable, which make them pretty hard to use for professional applications. Imagine deploying production code that only worked 85% of the time... would be a nightmare. I felt, and feel similarly about deep learning approaches to art. They're just so finnicky and unpredictable, for example, add a single extra pixel to that example in this article and the output would look completely different.
Either way, cynicism aside, stable diffusion is awesome :).