Wow, your paranoia is dialed up to 11.
Centrist, progressive, radical optimist. Geophysicist, R&D, Planetary Scientist and general nerd in Winnipeg, Canada.
troyunrau.ca (personal)
lithogen.ca (business)
Wow, your paranoia is dialed up to 11.
1000 km and 5000 seconds. Doesn’t seem very capable of hitting much, unless it flew intentionally a very high arc.
Love the solid rocket exhaust aesthetics though. Too bad it is produced as a weapon.
LKML and patch: https://git.kernel.org/pub/scm/linux/kernel/git/torvalds/linux.git/commit/?id=0fc810ae3ae110f9e2fcccce80fc8c8d62f97907
He cites his work as being a variant of a patch submitted by another developer, Josh Poimboeuf. It’s a team effort folks :)
I can hear the spurs jangling. Can you?
Probably you should add yourself to the list on Wikipedia then ;)
I thought the movie Tenet made this up :)
It’s barely even funny at this point.
Although I’d quibble about Newsweek defining this guy as an oligarch. He was vice president at a company that was disbanded due the company president’s opposition to Putin. It’s very possible this guy is just a former executive that refused to bend or hand over some dirt or something. It doesn’t appear he fits the definition of oligarch at all.
Unless we’re just using the word to refer to all Russians above peasant.
Oh good, some minor regression on those graphs to (checks notes) second worst year since records.
But how did it affect their stock price?
It’s really rare for a project to completely rewrite to a new toolkit. VLC in circa 2007 did it (moved to Qt - even stole their volume control widget directly from Amarok at the time). GCompris ended up as a KDE project despite originating in Gnome (along with toolkit change, but it weirdly kept the name). LXDE->LXQT also. But I don’t actually have that many examples.
I’m not sure this comic would be framed like this if created today. But the punchline would still work with a gang initiation backdrop or something.
Joke is on the Timberwolves. They’re going to be sliding around too
But you mean you wrote it in python with tkinter as a toolkit, rather than writing it in Tcl (which is its own language, like python).
Serious question: I’ve never met a programmer who has ever actually written anything in Tcl in the real world. If you’ve working in Tcl, tell me about it! What did you use it for and when? Was it awesome/terrible/etc.?
Extra points for taking constructive criticism so well :)
TIL: Most “human stampedes” are better categorized as “crowd crushes”. Root cause analysis of these events typically points to organizational failure rather than panic.
No, that isn’t the issue. It’s the construction “myths invoked by organisers in order to shift responsibility” which is the editorialization. You wrote it like you discovered this great gotcha or something, but the article uses much more clinical language. Basically rewriting to rage-bait.
Anyway, I’ll be over here meow
Your headline is not saying the same thing the article is saying.
Forward slash doesn’t throw a mental syntax error? ;)
Your assertion that the document is malicious without any evidence is what I’m concerned about.
At some point you have to decide to trust someone. The comment above gave you reason to trust that the document was in a standard, non-malicious format. But you outright rejected their advice in a hostile tone. You base your hostility on a youtube video.
You should read the essay “on trusting trust” and then make a decision on whether you are going to participate in digital society or live under a bridge with a tinfoil hat.
In Canada, and elsewhere, insurance companies know everything about you before you even apply, and it’s likely true elsewhere too. Even if they don’t have personally identifiable information, you’ll be in a data bucket with your neighbours, with risk profiles based on neighbourhood, items being insuring, claim rates for people with similar profiles, etc. Very likely every interaction you have with them has been going into a LLM even prior to the advent of ChatGPT, and they will have scored those interactions against a model.
The personally identifiable information has largely been anonymized in these models. In Canada, for example, there are regulatory bodies like OSFI that they have to report to, and get audited by, to ensure the data is being used in compliance with regulations. Each company will have a compliance department tasked with making sure they’re adhering.
But what you will end up doing instead is triggering fraudulent behaviour flags. There’s something called “address fraud”, where people go out of their way to disguise their location, because some lower risk address has better rates or whatever. When you do everything you can to scrub your location, this itself is a signal that you are operating as a highly paranoid individual and that might put you in a bucket. If you want to be the most invisible to them, you want to act like you’re in the median of all categories. Because any outlying behaviours further fingerprint you.
Source: I have a direct connection to advanced analytics within insurance industry (one degree of separation).