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Calm Harm can be tailored to your needs and will provide strategies to help you get past those crucial moments of wanting to harm.

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Ken tried to sue sega due to the evil badguys in sonic chronicles (yes, that sonic chronicles) being supposedly similar to his. The case was dropped, but that wasn’t the end.

Ken, rather than backing down, decided to go all-in and claimed copyright on all of his characters he created for the sonic comics. All of them, including ones in current story arcs. Archie tried to argue that due to his contract the characters were actually now the property of SEGA… only to be unable to find the actual contract he signed (ken probably swiped it on the way out). 

This meant that the publishers had to actually reboot the entire current plot because they could not legally use these characters anymore. Every single hanging plot thread had to be retconned, and theres years of comics that are now officially not canon because of it.

Ken, now having full right over his echidna OCs, changed them to be not echidnas but an alien race called ‘Echydnya’ (yeah), and he’s gonna give them their own visual novel series:

First of all, I’m not an art student/anatomy expert/seasoned professional so some of these methods might be pretty questionable and might not be the recommended way to go about drawing stuff

But anyway yeah here’s a bunch of things I bear in mind while drawing stuff and it helps to some extent. I learnt a bunch of these from some other art references online somewhere so I don’t claim credit for like discovering these amazing anatomical facts or something 

Hey more tips:

If you want to improve within a short amount of time you can use this nifty tool online: http://www.quickposes.com/ It basically gives you a bunch of poses and you gotta draw them with a time limit and everything so I do that occasionally

Also I’ve got a weird obsession with drawing hands like they’re one of my favourite things to draw somehow so if you wanna practice hands real quick then here’s what I recommend:

Ask your friends to give you a random hand gesture and sketch it out or like look at your own hand in crazy new poses and just draw that 

The pen stand that most Wacom products come with?

The spare nibs are on the back of the removable panel where you can change the pen loop colour. 

Also there’s a little hole in that compartment that looks like this

You see the little eject symbol? This guy is how you remove your worn down nibs.

Press the pen nib in on an angle like this and lift up.

by storyboard supervisor Erik Fountain

So if you’ve ever picked out paint, you know that every infinitesimally different shade of blue, beige, and gray has its own descriptive, attractive name. Tuscan sunrise, blushing pear, Tradewind, etc… There are in fact people who invent these names for a living. But given that the human eye can see millions of distinct colors, sooner or later we’re going to run out of good names. Can AI help?

For this experiment, I gave the neural network a list of about 7,700 Sherwin-Williams paint colors along with their RGB values. (RGB = red, green, and blue color values) Could the neural network learn to invent new paint colors and give them attractive names?

One way I have of checking on the neural network’s progress during training is to ask it to produce some output using the lowest-creativity setting. Then the neural network plays it safe, and we can get an idea of what it has learned for sure.

By the first checkpoint, the neural network has learned to produce valid RGB values - these are colors, all right, and you could technically paint your walls with them. It’s a little farther behind the curve on the names, although it does seem to be attempting a combination of the colors brown, blue, and gray.

By the second checkpoint, the neural network can properly spell green and gray. It doesn’t seem to actually know what color they are, however.

Let’s check in with what the more-creative setting is producing.

…oh, okay.

Later in the training process, the neural network is about as well-trained as it’s going to be (perhaps with different parameters, it could have done a bit better - a lot of neural network training involves choosing the right training parameters). By this point, it’s able to figure out some of the basic colors, like white, red, and grey:

Although not reliably.

In fact, looking at the neural network’s output as a whole, it is evident that:

The neural network really likes brown, beige, and grey.

The neural network has really really bad ideas for paint names.

Then there’s Ana, sitting in the dark with her hands folded, wearing a t-shirt saying ‘The Ghost Watches’: Where have you three been?

Them: