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by Tatiana Moroz

The most moving thing to me about music is it’s ability to change. It changes the mood, the atmosphere, and it fills us with emotion. It can unify mankind in the power of good and triumph over evil regimes. What most struck me was when we saw this in the 60’s and 70’s folk songs that became anthems for the civil rights, equality, and antiwar movements. Even as a little girl, I knew that this core drive and expression for freedom was critical to the success of humanity as we marched ever closer to the nightmarish visions painted in 1984 and Brave New World.

This is a heavy and serious purpose, but one I took to heart as I created songs of hope, sadness, life, beauty and love. I noticed that the music industry seemed averse to this type of meaning based songwriting, and the radio waves were filling with more vapid nonsense by the minute. However, I kept my head down and tried to educate myself on the ways we could organize society for the better.

I joined the Ron Paul movement in late 2011 after I learned about the Federal Reserve system of central banking. I saw that it was one of the biggest obstacles to true liberty. I used storytelling in my music to illustrate the solutions I was finding, but I think we all hit a wall with politics at one point (which is probably how we all know each other in a way as seekers of the truth).

If you told me 6 years ago that I would be involved with “fintech” or technology in general, I would have laughed you out of the room. As soon as I start reading a manual, I disengage, my eyes glaze over, and within 6–8 words, I am daydreaming about something else. Even though my friends teaching me about Bitcoin were able to illustrate the benefits, something didn’t click. I gave them $500 anyway (which was a lot of money to me!) and they bought me some Bitcoins at $11. Eventually as the price went up and I learned more, I became enthusiastic about the possibilities. If my goal was to help “save the world” (for lack of a better term), then there were few inventions in the history of man that could compete with Bitcoin and blockchain technology.

I created the Bitcoin Jingle and became immersed in the community. I soon befriended Adam B. Levine of Let’s Talk Bitcoin, one of the most popular Bitcoin podcasts that also acted as a network home to over a dozen other shows. As content creators, we were the first to experiment with artist tokens and markets based around music, podcasts, and other media that removed the middleman and were secured through the power of the blockchain. In 2014 we created TATIANACOIN, the 1st ever artist cryptocurrency, but creating the coin was just the beginning. Upon launch, we soon realized we had to build the ecosystem for the coin to thrive.

Think of artist coins as a type of token that you can hold in a digital wallet, like store credit. These coins can be sold to your fans that want to support your work, similar to a crowdfund or patronage type platform, but they get back TATIANACOIN that they can spend however they want. It can be redeemed for backstage access, music, merchandise, held onto for future rewards, and the coins can even be traded or sold with other music fans. They allow an artist to gather support from their community through long-term fundraising that gives back real value and engagement. Imagine, as a fan, becoming that much more entwined with the careers of your favorite musicians, visual artists, and other content creators! Artist coins also allow for direct messaging, streaming, and support functions between artists and fans. We see this as a more enriching experience than just your average social media platform.

But so what? We built a platform. What does this have to do with artists and a message? Well, currently artists are paid very little. If your song is played on a streaming platform a million times, you are then paid a measly $1000. When you get a record deal, you are getting, in essence, a bad loan from the record company. Most likely, you have to pay it back over the course of your entire career and you have given control over your music to the record company. There is no transparency, it is inefficient, and rife with human error that slows things down dramatically.

But that’s just one side of the problem. The more glaringly wrong side is the homogenous nature of music we now encounter. Corporations want profit and since the repeat of the same old party music can be more secure and lucrative than an edgy performance, that’s what gets made. But humanity and culture suffer, while a select few accumulate more power over our minds and bodies.

To highlight this, I decided to use a drawing of me made by political prisoner Ross Ulbricht of the Silk Road as my album cover. The drug war is an abysmal failure, and the precedent set by this case effects us all. If I was on a major label, I wouldn’t be able to side with Ross and bring attention to the devastation being wrought worldwide by the US governments overzealous prosecution of non-violent offenders. It’s immoral and as an artist, I have an obligation to stand up and say no more.

Artist coins at their core are about the same thing Bitcoin is about: autonomy and freedom. If we do not have control over our money (in the arts and otherwise), we will have a harder time moving toward more prosperity and enlightenment. We now have the tools to take back our most precious means of communication and create communities based around cryptocurrency and P2P. I believe artistic creativity is essential to mankind’s progress, and I hope others will join me in this pursuit to free the art.

To find out more about Tatiana Coin and to support my new album Keep the Faith out March 31, 2017, please go to www.TatianaMoroz.com

How deepmind’s memory trick helps AI learn faster.

While AI systems can match many human capabilities, they take 10 times longer to learn. Now, by copying the way the brain works, Google DeepMind has built a machine that is closing the gap. “Our experiments show that neural episodic control requires an order of magnitude fewer interactions with the environment,” they say.

Intelligent machines have humans in their sights. Deep-learning machines already have superhuman skills when it comes to tasks such as face recognition, video-game playing, and even the ancient Chinese game of Go. So it’s easy to think that humans are already outgunned.

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Controlling the organization of nanoparticles into patterns in ultrathin polymer films can be accomplished with entropy instead of chemistry, according to a discovery by Dr. Alamgir Karim, UA’s Goodyear Tire and Rubber Company Professor of Polymer Engineering, and his student Dr. Ren Zhang. Polymer thin films are used in a variety of technological applications, for example paints, lubricants, and adhesives. Karim and Zhang have developed an original method—soft-confinement pattern-induced nanoparticle segregation (SCPINS)—to fabricate polymer nanocomposite thin films with well-controlled nanoparticle organization on a submicron scale. This new method uniquely controls the organization of any kind of nanoparticles into patterns in those films, which may be useful for applications involving sensors, nanowire circuitry or diffraction gratings, with proper subsequent processing steps like thermal or UV sintering, that are likely required but the self-organization into directed patterns.

This work, “Entropy-driven segregation of -grafted nanoparticles under confinement,” has been published in the February 2017 issue of Proceedings of the National Academy of Sciences (PNAS).

Intuitively, entropy is associated with disorder of a system. However, for colloidal matter, it has been shown that a system can experience transitions which increase both entropy and visible order. Inspired by this observation, Karim and Zhang investigated the role of entropy in directed organization of polymer-grafted nanoparticles (PGNPs) in polymer . By simply imprinting the blend films into patterned mesa-trench regions, nanoparticles are spontaneously enriched within mesas, forming patterned microdomain structures which coincide with the topographic pattern. This selective segregation of PGNPs is induced by entropic penalty due to the alteration of the grafted chain conformation when confined in ultrathin trench regions.

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Computer researchers are betting they can take on the house after designing a new artificial intelligence program that has beat professional poker players.

Researchers from University of Alberta, Czech Technical University and Charles University in Prague developed the “DeepStack” program as a way to build artificial intelligence capable of playing a complex kind of poker. Creating an AI program that can win against a human player in a no-limit poker game has long been a goal of researchers due to the complexity of the game.

Michael Bowling, a professor in the Department of Computing Science in the University of Alberta, explained that computers have been able to win at “perfect” games such as chess or Go, in which all the information is available to both players, but that “imperfect” games like poker have been much harder to program for.

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Enjoy this Sci-Fi short film created by the talented Jason J. Whitmore! Earth’s days are numbered when a nearby star goes supernova. Seizing the opportunity, an alien race has offered humanity a deal: Be our slaves or be left to die. As one couple struggles toward the last escaping ship, they grapple with the cost of sacrificing their freedom for their survival.

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It’s looking increasingly likely that artificial intelligence (AI) will be the harbinger of the next technological revolution. When it develops to the point wherein it is able to learn, think, and even “feel” without the input of a human – a truly “smart” AI – then everything we know will change, almost overnight.

That’s why it’s so interesting to keep track of major milestones in the development of AIs that exist today, including that of Google’s DeepMind neural network. It’s already besting humanity in the gaming world, and a new in-house study reveals that Google is decidedly unsure whether or not the AI tends to prefer cooperative behaviors over aggressive, competitive ones.

A team of Google acolytes set up two relatively simple scenarios in which to test whether neural networks are more likely to work together or destroy each other when faced with a resource problem. The first situation, entitled “Gathering”, involved two versions of DeepMind – Red and Blue – being given the task of harvesting green “apples” from within a confined space.

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In Brief

  • The game designers for Mass Effect have gone all out for scientifically accurate weapons.
  • From rail guns to “element 0,” this science fiction game mirrors reality.

From the astoundingly stiff weaponry of 1995’s GoldenEye to the alien arsenal of the Halo franchise, video games haven’t always had the most realistic arms. But, in Bioware’s Mass Effect franchise, the game designers opted for scientifically accurate weapons.

Kyle Hill, of Nerdist’s’ series Because Science, explores the scientific plausibility of the weapons in the Mass Effect franchise.

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If I dare show this to my nephews, we will never see them again.


When the Arcade Hotel Amsterdam opened last year, owner Daniel Salmanovich couldn’t help but smile when his hotel had people wanting what is known as the world’s first gaming hotel. It has its doors closed now until it will reopen in May for a much bigger expansion.

Currently, it has nine rooms that, as Travel Daily News puts it, “an exquisite offer of cult consoles, console games and retro gaming facilities in the lobby — traveling gamers could hardly believe their eyes.” To further boost the hotel’s features and offers, the management has decided to renovate the hotel together with creating more rooms which bring it to 43.

It will take them €800,000 to have it realized when they would be including game rooms with virtual reality gadgets and the newest consoles and gaming PCs. Lonely Planet noted that “that’s on top of the current crop of gaming machines on offer including Ataris, Nintendo Entertainment Systems, Gameboys, PlayStations, Game Cubes, Super Nintendos, N64s, and Xboxes.”

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