Out of curiosity, do you use any specific version control features when writing like this outside of history which is just kind of there by default? It would be hilarious but amazing if you said your editors (if you have any) give you feedback in the form of pull requests.
> I mean, it's basically inevitable, isn't it? Cultural heterogeneity is born out of isolation.
When thinking about this cynically, I feel like this has some depressing ramifications. Cultural differences (and isolation) are often born from financial disparities as well. Does this mean that the path to global cultural homogeneity is basically just gentrification on a massive scale where economic -> cultural minorities get more and more ostracized?
Bandwagoning onto this aside, I had really similar thoughts on both fronts. Are things really "retrograde" in Japan because they hang onto older technologies faster, or do they hang around longer because they make sense for their circumstances and needs? We don't say walkie-talkies on security guards are retrograde (not a perfect analogy, I know).
And yep, I like to think of Seveneves as 3 books in a big trench coat where the first 2 are fantastic and I wholeheartedly recommend to anyone that likes some solid sci-fi.
This discussion was posted in May 2012, more than 12 years ago. Interesting thinking about the landscape of platforms over time. Note that Jamie Zawinski has stated that this was a statement less on copycats and more on platformization: https://en.wikipedia.org/wiki/Jamie_Zawinski#Zawinski's_Law
> Dokku is great, but historically it didn't really handle resilience.
Would you mind elaborating a bit on this? I'm exploring some serverless options right now and this would be useful info. Do you mean it's not really designed out of the box for resilience, or that it fails certain assumptions?
One might say it's also pretty petty to call out a casual usage of a notation being used in a way that people in the thread are understanding just fine...
I agree. If it's available, I always appreciate a toast + notification tray combo where you get non-blocking feedback on successes but you can also keep track of any past messages.
I have a question for folks working heavily with AI blackboxes related to this - what are methods that companies use to test the quality of outputs? Testing the integration itself can be treated pretty much the same as testing around any third-party service, but what I've seen are some teams using models to test the output quality of models... which doesn't seem great instinctively