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May 23 2017

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Cumulus clouds over "Tolstoy's House" St. Petersburg, Russia
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Hamster lounge chair
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I swear, there was nothing!
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Nobody likes 2 trips

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The Witcher, Gwent.
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I had to think this over for ten minutes.

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May 22 2017

New paint colors invented by neural network




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:

  1. The neural network really likes brown, beige, and grey.
  2. The neural network has really really bad ideas for paint names.

Burble Simp.

Stanky Bean.

Rose Hork.



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this is important!
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Reenactor throws a spear at a drone

What a time to be alive.

“The medieval warrior, realizing the consequences of his impulsive act, immediately approached the owner of the drone and offered to pay for the damage.

The owner of the drone was so impressed by the brilliant attack that he suggested organizing a competition for bringing down “dragons” with short spears next year.

Drone owners have another year to develop a unique “dragon-like” design for their flying machines.” (x)

I am 100% cooler with this knowing that the spear-thrower realized “oops maybe I shouldn’t have done that” and tried to make it right, and that the guy who the drone belonged to was cool with it

just so everyone knows, this has already been memorialized in a runestone

Sometimes the world isn’t such a bad place.

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Nestle vertritt vehement die Meinung: Wasser ist kein Menschenrecht!

Diese Produkte darf man als Antwort gern boykottieren, die haben eh nicht viel mit Nahrung zu tun!
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