

Sweet thanks, adding to the list


Sweet thanks, adding to the list


I forgot about the nebulas! My list just grew


I really enjoyed those books! I found them when I was digging through the Hugo’s for something to read and these definitely seemed like they deserved it. I generally avoid mysteries because it seems they have a tendency to intentionally mislead the reader but these felt complete. Every detail is important and contributes to the story without being out of place or a distraction. Highly recommend


Well I just dumped windows and MS office. For machine vision I’m only dabbling with openCV, so that’s already open source. The switch to libre office has been pretty nice though


Cool thanks, I’ll stick with it! At least until I’m familiar and want to try something new


No worries, it’s all part of the experience


Hmm, okay. Yeah I was trying to set up an environment to dabble with machine vision and had trouble finding good instructions or guidance for programming env setup. I think in college we used something-Unix but it’s been so long I don’t really have a frame of reference anymore. So I’m looking for a low-overhead daily driver that’s also relatively common or amenable to maker communities
If that makes sense.


Damnit I just switched to Ubuntu. That explains why I kept getting lost. What about Debian?


It’s almost a concept of a plan


Great book, I need to listen to it again. But the interview will do for now!


I had a boss that did this quarterly meeting where he’d schedule two full days to review everything he heard piecemeal once a week and it always ended up taking 3 and a half days. It was hell and we all hated it. The whole office had to sit in it, no one got any work done, and most of us fell asleep. No decisions were ever made and it was just to give himself the feel goods about telling his boss he knew what was going on.
Horrible boss. The running theory in the office was that he hated his family and didn’t want to go home


Here, I found the video
It’s youtube because I couldn’t find it anywhere else. But I think it addresses some of your points. The biggest point it makes is that at the same time that the greater economy lost 3 million jobs (or had that many layoffs), the gig economy gained roughly the same number of people.


I saw a breakdown the other day postulating that the true unemployment rate is masked by the gig economy, because people are more likely to drive Uber than file for unemployment


I’m convinced they’ll do it to themselves, especially as more books are made with AI, more articles, more reddit bots, etc. Their tool will poison its own well.
Ice chains for traction. It might be a type of crampon, I’m not certain what the distinction is.