That’s one area where this game shines it’s already got a robust and friendly community, complete with Discord server and plenty of active discussion on its Steam page. Playing while True: learn() has helped me figure out that one reason I find this kind of game frustrating is because I need to know how everything works in order to feel comfortable moving along to the next puzzle, so I take a lot of time doing research when I’m stuck, not just to find the solution but also the reasoning behind it. Even if progressing in the game takes me longer than I’d like to admit. I don’t pretend to understand the mechanics entirely, but I have enjoyed the process so far. And as SIFT nodes for shape recognition combine with color-sorting, it gets exponentially more difficult, at least for me.īut efficiency is an important consideration, because as you progress in the game, you can also invest and write programs for start-ups, adding the nightmare of the tech sector economy to the nightmare of programming puzzles. Messing with efficiency is where things get complicated decision trees are a lot faster than expert systems but also incorporate elements of randomness, which can affect your accuracy. While True: learn() starts off with the basics, with simple “nodes” representing machine learning concepts like decision trees and expert systems used to solve basic puzzles, like sorting colors, shapes and eventually both.įor added difficulty, improved efficiency – like using fewer nodes and accomplishing tasks in less time – results in more cash, which is used not only to rent server time to run your programs, but also cosmetic stuff to decorate your work space and your cat. On the bright side, though, it’s also the technology behind those neural nets where a programmer feeds in a list of cookie names, for example, or Doctor Who episode titles, and the program comes up with hilarious new ones like “spice biggers” or “The Daleks of the Daleks,” both of which I would eat and/or watch. On top of that, I have a layman’s interest in AI and machine learning: the technology responsible for those captchas that want you to click on all of the squares on a grid that contain traffic lights, which I loathe. In the case of while True: learn(), the obvious answer is “cats.” The game’s framing story involves a cat who can solve artificial intelligence solutions the player’s role is a less talented programmer trying to use machine learning to communicate with said feline hacker. Why do I keep doing it to myself? A Question of Motivation I always start out incredibly enthusiastic with programming games, and then as soon as the puzzles progress past the “absolute beginners” level, I end up feeling frustrated and stupid.
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