

Kaos. Jeff Goldlum plays a paranoid Zeus. That’s pretty much all to need to know, but the cast and writing are both incredible


Kaos. Jeff Goldlum plays a paranoid Zeus. That’s pretty much all to need to know, but the cast and writing are both incredible


By sheer coincidence, I just made an install image yesterday and will be switching soon


There’s some debate on this! Most movie dialogue is designed to convey the impression of conversation, but this is naturally unrealistic. People stutter and start over and get distracted in normal conversation much like you described, which can become very burdensome on the screen. Like when your boss won’t get to the point in the standup. Overly precise dialogue is equally burdensome and often fails to maintain attention (see: the Time 1776 AI videos). A lot of the discussion around how best to balance those natural pauses and disruptions around the otherwise “eloquent” speech in movies to best convey a characterization.
I’m sure others out there can point to legitimate sources, but I’m not super read up on it


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


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.
And a couple that aren’t really reactions but I use them anyway: