“From a gameplay perspective, the cool thing is it can be totally open-ended and you can do basically anything you want,” Whitmore said. While logic doesn’t always apply, players can type any command into the game and, in many cases, it will oblige and try to come up with whatever step follows next. Really, though, it hints at something amazing: Another piece of evidence that machines can, to some degree, display creativity.
If you’re familiar with the source games, you can begin to see where some of the ideas and concepts have been lifted from and mashed together in strange new ways. to generate new scripts for, say, one of J.D.’s monologues from Scrubs or a chapter from a new Game of Thrones novel.
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GPT Adventure is good fun, albeit full of the strange flourishes that occur when people use A.I. Whitmore said, “I did play around with using this neural network to automatically generate images based on the place descriptions which yielded some weird results.” However, these are not a part of the finished product. It’ll play in your browser (you can follow the simple instructions to get it started here) and, unlike Ender’s Game’s Mind Game, there are no graphics. On the face of it, the resulting game is simplistic.
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“So there’s also some manually written code that tries to correct the more common kinds of mistakes and make the game more playable.” “Even with this, GPT-2 sometimes makes mistakes like forgetting where the player is,” he said. Whitmore acknowledges that he had to make a few tweaks along the way. The resulting game looks and plays a lot like the decades-old text adventure games it is modeled on, with the same basic elements and gameplay mechanics. “You give it some text and it tries to predict what comes next.” This lets GPT-2 learn the mechanics of text adventure games things like ‘If the player says look east, describe an object to the east of them.’” “This is done using algorithms that automatically adjust GPT-2’s internal parameters until the text it produces looks like the text from the text adventures. “ train GPT-2 to produce text that looks like the game transcripts,” Whitmore continued. He was inspired by Mind Game, a fictitious game that’s generated in real-time by artificial intelligence in Orson Scott Card’s sci-fi novel Ender’s Game. These text-based adventure games were created in the mid-1970s, originally for Digital Equipment Corporation’s PDP-10 mainframe, a computer about the size of a refrigerator, and considerably less powerful than the devices most of us carry around in our pockets. To turn GPT-2 into the world’s most dangerous Dungeon Master, Whitmore started out by collecting transcripts of users playing Zork and Colossal Cave Adventure. That means that, instead of programming a collection of rooms and monsters in advance, the game starts your character in a location and then uses A.I. In GPT Adventure, the text world of the game is generated by the predictive GPT-2. Then the player makes another action, and you have a game.” You can feed in the player’s current location and their action -, ‘go east’ - and then you just ask GPT-2 to predict what text comes next, which is the consequence of that action. This is really well-suited to text adventure games. “You give it some text and it tries to predict what comes next. “GPT-2 is basically an extremely powerful predictive text algorithm,” Whitmore told Digital Trends. It’s a procedurally generated game experience in which players can do whatever they want within the confines of a world controlled by the fugitive A.I.Īnd you know what? Not since Sarah and John Connor teamed up with The Terminator to take on Skynet has the world’s most dangerous artificial intelligence been quite so much fun.
Within months, a version of it had found its way online (you can try it out here.) Now it has formed the basis for a text adventure game created by Northwestern University neuroscience graduate student Nathan Whitmore. Building on the predictive neural network framework of GPT-2, GPT Adventure promises to rewrite itself every time it’s played. Of course, like Hannibal Lecter, Heath Ledger’s Joker, or any other top-notch antagonist, it didn’t take GPT-2 too long to escape from its prison. The results were a Turing Test tailor-made for the fake news-infused world of 2019. Feed it the start of a newspaper article, for instance, and it would dream up the rest, complete with imagined quotes. Called GPT-2, the algorithm was designed to generate text so humanlike that it could convincingly pass itself off as being written by a person. startup once sponsored by Elon Musk, created a text-generating bot deemed too dangerous to ever release to the public. Fitbit Versa 3Įarlier this year, OpenAI, an A.I.
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