If you've ever played Magic: The Gathering, then you know there's no small thrill that can match the feeling of opening a booster pack. No, you should buy single cards to build your decks. But cracking packs is a lot easier to justify when you get a discounted booster box on October Prime Day (aka Amazon Prime Big Deal Days). These M:TG sales typically sell out every year, so don't wait if you want to get a box to draft or irresponsibly enjoy. This box contains 36 packs with 14 cards each, including up to four rare cards.

Opinions expressed by Forbes Contributors are their own. The author is a Forbes contributor. The opinions expressed are those of the writer. This holiday season, I managed to wind up with the best possible problem--I got so many gifts in the mail, I forgot about some of them. That's how I ended up not realizing I'd received the Wizards of the Coast 2016 Holiday Card until January.

Now that we have that out of our system, let's take a look at what some well-trained RNNs came up with, when actually trying to create playable magic cards. A simple, evocative, colorshifted Lightning Bolt, into the color that makes the most sense. There's just something enjoyable about the RNN coming up with a Political Tyrant whose main ability is exploit. This A.I. knows its topical humor.

Tens of million of people worldwide play Hearthstone, an online collectible card game set in the Warcraft universe, which also encompasses the massively popular MMO World of Warcraft and a major movie. Now Google Deepmind, fresh from creating an AI that triumphed at a game it was thought no computer could master, has been using Hearthstone to test ways a machine learning system could generate natural language - such as English - and formal language - such as computer code. Researchers tasked a system with writing the code that sets the behaviour of cards used in Hearthstone and in another famous collectible card game, Magic: The Gathering (MTG). The Deepmind system -- which implemented a novel neural network architecture -- was first trained using code from open-source versions of Hearthstone, programmed in Python, and Magic: The Gathering, programmed in Java. Humans 2.0: How the robot revolution is going to change how we see, feel, and talk Robots aren't going to replace us, but by working hand in hand with us they will redefine what it means to be human. Once trained, researchers tested the ability of the system to generate code needed to represent Hearthstone and MTG cards in each game.