To be fair, those $46 million will buy quite a few avocodo toasts and lattes
To be fair, those $46 million will buy quite a few avocodo toasts and lattes
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Now we only have to elect decision makers that make policy on facts and not feelings.
Oh, that’s easy, for Russia it’s crucial for reasons… it was something about de-nazification, or was it to stop NATO expanding? No, no, it’s to defend against the aggression of The West!
That’s why Russia has to occupy Ukraine!
For Ukraine, they mostly seem to have a bee up their butt about Russian troops occupying, torturing, kidnapping, displacing and murdering Ukrainians on Ukrainian soil.
Um, what?
I’m just reminding you of basic defence against information warfare, something that’s much too easy to forget.
In case you’re unfamiliar with the framework, ASU has a convenient summary.
It’s a decent way to stay sane® on the internet, and a good way to not aid the enemy in their misinformation campaigns.
Then you should probably revise where you get your information from. Seems reality doesn’t conform to your beliefs.
If you read the article it says that the data is from FBI
From the video it seems they were spotted by drones on the way to the deployment site and were under drone surveillance during setup, during which artillery hit.
I have a hard time imagining that the observation drones are that sneaky, so I’d guess it’s another issue of poor battlefield command structure forcing the compromised position
Eggselln’t
Because countering Russia has been the US’ primary offer in all deals and bargaining for the last 50 years
Because countering Russia has been the US’ primary offer in all deals and bargaining for the last 50 years?
I’m guessing because a lot of them aren’t clearly marked “Russian state war chest part 12”, but rather things like “Gazprom reserve fund” or “Oligarchs discretionary fund” which would muddy the border between state and private assets.
State assets might be fine to seize to cover state costs, but the legality of seizing the others’ might by grayer.
Looks so cool!
Sorry to see the weekly thread go. Important topic, but I don’t have enough to contribute beyond lurking and upvoting.
I have no experience with your particular printer, but I’ve had an issue where the bed was very sensitive due to being the edge of the adjustment range.
The bed screws on the Ultimaker 2 are manual screws with springs, and you can level the bed throughout most of the screw length. Having it at one end means the spring is quite loose, and things like weight and nozzle pressure affected the flatness of the bed.
So if you have an elastic tensioner for your bed, maybe set it at higher tension for a more robust flatness?
If you’re always adjusting in the same direction though, it’s not that, and is probably a software error where something doesn’t count Z-position right. Unless of course your printer is somehow getting longer?
Good thing this is for a dozen city blocks at the center of an organically grown city then.
Walkable in about 15 minutes, and no highways.
There are many issues with ICE cars, and it wouldn’t surprise if one of the main motivations behind the ban is to lessen dependence on fossil fuels.
This is a fairly low risk step to see if deliveries and short range transport will switch into EV. It also lowers a lot of air pollution and noise, it looks suitably progressive and is easily reversible if shit goes wrong.
Several teams actually
But you could also do a mean time analysis on specific tasks and have it cut off at a standard deviation or two (90-98% of task times covered), and have a checkbox or something for when the user expects longer times.
You could probably even make this adaptive, with a cutoff at 2x the standard time, and updating the median estimate after each run.
I use Newpipe, it’s not as good as Vanced, but better than reVanced. And good enough that I recoil in horror at the stock app.