@sun Yep. The first time I caught #COVID-19, it was because I was eating breakfast in the hotel dining room and some jerk coughed (again, repeatedly).
It was a hotel with "food can't leave the dining room" rules, or I wouldn't have still been there anyway. In fact, one family had a child that had to eat special food. They brought it with them to the dining room, and they had to show the hotel employees that it wasn't hotel-provided food when they wanted to take it with them.
@simsa03 Erdogan has been trying to exterminate the Kurds -- a people group that lives partly within his own country -- for decades. Not to mention that Turkiye did almost cause a NATO split when they invaded Cyprus (even today, the northern part of the island is held as a non-recognized Turkish-enforced nation).
@sun ... Except that Nostr's design happened after ActivityPub was already in use. They seriously could have learned from the existing attempts at decentralized networking, but chose to ignore it all.
@moon@shitposter.club I worked with a couple of guys who had been at Bell Labs / Lucent (at the end of and after their most productive years) and at Xerox PARC and Rochester research labs (during their most productive years). From what I understand from my friend, the AT&T breakup was the biggest factor. Before that, AT&T was a huge org with guaranteed profits and lots of places to obscure their spending. Afterwards, Lucent had to scramble to be profitable.
And so they refocused most of their research on hardware for the telephone system AND because their competitors were on the "release flawed products and then release patches later" train and they were on design and test until all known flaws were removed, Lucent couldn't compete, so they had layoffs.
Now, I wasn't there, so I can't say whether my friend's recollection was accurate, but that's what he told me.
(The other former co-worker, the one who had worked for Xerox PARC and Xerox Rochester, said that PARC was much more creative because they were far away from the management in Upstate NY, but as we know, most of their inventions were left to rot on the vine unless someone outside of Xerox decided to implement them.)
There are some factual errors in that graphic.
(1) Gab didn't leave the Fediverse because leftish instances blocked them, but because the instances that didn't block them mocked and harassed them.
(2) Truth Social never attempted to federate. They removed that part of the Mastodon source right up front. (Source: Alex G, who was their lead dev for a while.)
The other thing to consider is that the Fediverse is losing the user-recruitment contest to Bluesky and a big factor in that is that Fediblock means no one can be sure they'll be able to communicate with their desired contacts on another instance. (Nostr trumpets Fediblock "censorship" as a reason they're supposedly a better place to be.)
In my opinion, relying on things like Fediblock has greatly delayed necessary things like automated spam-blocking and some sort of individual filters that are user-subscribable. (This one is a feature that Bluesky has, but in my time as a user there, I've never yet come across another filter provider.) Other than illegal content, admins should be very careful about blocking, because they're in a position of power relative to their users. I'm 100% not saying they shouldn't block anything that isn't illegal, but they should think about how doing so from their position of power affects their users before doing so.
#DataCamp also has a small jobs section (data science / data analyst mostly). When I see one that posts the salary range, they're always quite a bit more than I have ever made in my life. Unfortunately, I haven't seen a single one where taking X number of DataCamp courses (or even some tracks and taking their proprietary skills certifications) would be enough to advance one to job candidate status. If I want more dollars than I know what to do with, I have to get data science work experience first.
Again, when I talk about #DataCamp, it isn't to trash-talk them. I sincerely believe that if you go into it knowing what it is like, you can counteract the worst parts by setting your own plan and schedule. Use them as a tool, with YOU in control, not their track planning person.
I decided to finish a couple of #RLang "tracks" before I refocus on the SQL and Python career tracks that I think will be most beneficial, and it has taken much, much longer than I expected.
R and many of its libraries are very inconsistent. But more importantly, few of their R-related courses start at the beginning and lay things out step-by-step. In fact, more than a year after I started with DataCamp was when I first ran into a course that did this. (It was amazing, and so far, I think I've encountered four of them. So finally, "aes" isn't some magic that I have to struggle to remember, it is the aesthetics of a graph / chart.)
So okay, when you take courses at your local community college, they set out the courses for each level based on levels. Learning C? There's an intro to C, followed by Intermediate C (which may be broken into multiple courses and using different names). There may also be an advanced C course. Most of them will have one or more prerequisites, so that you already understand the topics covered by those courses before you take the one you're interested in.
If you're taking the ACS (applied computer science ... may be computer information systems, management information systems, information systems management, information technology, or similar names) program, they'll have a list of which ones are required (which may have prerequisites).
Unfortunately, DataCamp isn't designed that way. It's rather haphazard, with three to fifteen four-hour courses arranged in one of around 30-40 "tracks" that mostly don't have prereqs arranged so that one has / acquires the underlying background before they take a course.
Other: DataCamp has a "pay per year" system which encourages people to take as many courses and tracks as they can and fails to encourage people to take time to do side projects using the skills their courses have covered. It may be good for them: We have X number of users, and most of them complete Y courses per year. It isn't good for their customer / students: No time to grab a few datasets, do some exploratory data analysis, then develop a hypothesis and go through the process to determine whether the dataset(s) support that hypothesis.
This morning, the rain seems to be steady. The dogs refused to go out this morning (post lightning / thunder; I know that if you hear thunder, you are close enough to be struck by lightning, so they don't even get offered the chance to go / stay outside during those times).
@fu@libranet.de They were "Indian Territory" at the time, but wedged between TX (CSA) and MO (USA, but some state leaders formed a rival CSA gov't in the SW corner until the union pushed them out), they were still right there in the thick of things.
When they became a state, riding right on the the top of Texas had to be a big influence.
A GNU+Linux bearing nomad migrating across a Windows-centric desert. I save the world from incompetent headquarters IT folks. I invite comment and discussion, but I dislike arguing.