What's a good way to learn more about the history and function and current status of unions? Are there any good books/resources that aren't particularly biased toward one side or the other?
It's harder than I expected. Try: [1], which is a study of how unions have interacted with the gig economy. (Mechanical Turk workers had an organization, Dynamo. Last update on their web site was 4 years ago, though.)
Teen Vogue (which has better content than the name would suggest) has a good article.[2]
soar helped me a lot. the whole thing with the "strengthening exercise" is pretty hokey and just totally ignorable IMO, but the 5-4-3-2-1 exercise single-handedly solved my problems with turbulence. i do it whenever the plane shakes and it damn near puts me to sleep every time; and over time i find that i don't need to do it as often, because i've gradually become calm by default in turbulence. which is great!
it's totally a night-and-day difference, i used to be terrified of planes and now they're just a mild irritant.
> Decisiveness
> Past: We spend too much time building consensus
> Starting now: Everyone else stops debating and gets on board once the decision is made
Dumb question, is it a 'risk' to leave the code in your profile? As in someone could crawl profiles looking for Kismet codes and then altering random people's profiles. If so, maybe it would be worth it to add text suggesting that people remove the code from their profile after verification is complete? Cheers
I'm volunteering in a local high school, helping out with a few CS classes. My main focus is an introductory Python class. I've put together a few projects for the students in that class:
I'm excited to see how the rest of this school year goes - by the end of it, I'll have a suite of projects that beginners to Python might find very useful!
I worked there as a software engineer for six years, first in SF, then remotely in Oregon. I loved it. The people are brilliant and friendly, the codebase and tooling are top-notch. If you're a programmer, it's a great place to work.
We don't have a simple separation of concerns like that. Brain and DeepMind share a common vision around advancing the state of the art in machine learning in order to have a positive impact on the world. Because machine intelligence is such a huge area, it is useful to have multiple large teams doing research in this area (unlike two product teams making the same product, two research teams in the same area just produces more good research). We follow each other's work and collaborate on a number of projects, although timezone differences sometimes make this hard. I am personally collaborating on a project with a colleague at DeepMind that is a lot of fun to work on.
