Honestly it’s better but still a mess of design choices. For open source graphics editor check out Krita.

Yup. I had an infestation thar took months to get rid of. Turns out they were in an old bag of dried peppers.

It’s right there in the word. deci 1/10 mate from matus to remove. It’s like expecting half price to mean 1/3 price. We use deci all the time to mean 1/10 Decileter, decimal, etc.

Common misuse of words. Decimate means reduce by 1/10 not almost completely destroy. Exponential growth. The variable has to be in the exponent if it’s a constant exponent that is polynomial growth. Gaslighting isn’t just lying. It’s making someone belive that they can’t trust their own memories or experiences so they believe you despite evidence to the contrary.

That’s probably the best way to read it.

Naked Lunch. It’s a dark strange read but it suck with me.

The book is better but the movie was pretty good.

I found my next read. Copy ordered.

I read Mother Load by Zach Huges decades ago. Not as strange as the one you describe but I still remember it.

I’m pretty sure that was the intent.

The story is a joke. Literally. The version I herd decades ago was a guy keeps buying for everybody but the Jew at a table who ends up owning the bar.

I grew up near an area where a large number high net worth people. For example as a kid I thought Lamborghini was a common car because I saw them all the time.

In my experience lots of money brings out your true self and let’s you act the way you want. So if you are inclined to be self centered and an asshole you can be a massive asshole. You can also be generous and kind.

Most rich people are pretty normal. However the normal ones do try to not make it known that they are rich. So you often don’t notice the normal rich people.

It’s also hard to tell the difference between a person who lives on a 200k a year income and a person with a double digit millions net worth.

I had a friend as a teen. I invited him to go diving with me as he had never been. He showed up with a 20k wetsuite.

A 7/10 game would be better then no game. Besides sequels don’t erase the original.

To be fair they bought skype to break it’s end to end encryption at the behest of the us govt. In return they were awarded big contracts.

https://www.theguardian.com/world/2013/jul/11/microsoft-nsa-collaboration-user-data

I’d shot for supercoolent next. With that and a proper counterflow exchanger a sour gas boiler is just a lot of construction.

You can always vent the gas to space. Door crushers work great if you don’t mind exploits. Sour gas is useless until late game.

You should liquid lock your base to prevent unwanted gases from getting in.

My best tip for oni is after 4 dupes the number of dupes is the difficulty setting. Grow slowly.

Pretty specific use case. A normal OS handleds time slicing and core assignment for processes and uses it’s judgement for that. So at any time your process can be suspended and you don’t know when you get your next time slice.

Same with when you make wait calls. You might say wait 100ms but it may be much longer before your process gets to run again.

In a real time OS if you have real time priority the OS will suspend anything else including it self to give you the time you request. It also won’t suspend you no matter how long you use the core.

So if you need to control a process with extreme precision like a chemical manufacturing process, medical device, or flying a rocket where being 10ms late means failure they are required.

However with great power comes great responsibility. You need to make sure your code calls sleep frequently enough that other tasks have time to run. Including things like file io or the gui.

Cool. I remember having to use Red Hawk Linux years ago. It’s a real time variant of Red Hat. It was such a pain to get the dependencies workin on it.

The solution for this is usually counter training. Granted my experience is on the opposite end training ai vision systems to id real objects.

So you train up your detector ai on hand tagged images. When it gets good you use it to train a generator ai until the generator is good at fooling the detector.

Then you train the detector on new tagged real data and the new ai generated data. Once it’s good at detection again you train the generator ai on the new detector.

Repeate several times and you usually get a solid detector and a good generator as a side effect.

The thing is you need new real human tagged data for each new generation. None of the companies want to generate new human tagged data sets as it’s expensive.

Or toss a flash bang in the crib.

Fair point.