while True: learn()

You’re a machine learning specialist who makes neural networks but your cat seems to be better at it. Now you must solve puzzles to build a cat-to-human translation system (who knows what else this cat is capable of!). Earn a fortune, buy kickass cat outfits, learn how machine learning really works!

while True: learn() is a programming, simulation and education game developed and published by Luden.io.
Released on January 17th 2019 is available on Windows, MacOS and Linux in 32 languages: English, Russian, German, Hungarian, Korean, Greek, Portuguese - Brazil, Simplified Chinese, Polish, French, Italian, Spanish - Spain, Czech, Japanese, Spanish - Latin America, Traditional Chinese, Turkish, Vietnamese, Arabic, Bulgarian, Danish, Dutch, Finnish, Indonesian, Portuguese - Portugal, Romanian, Swedish, Thai, Ukrainian, Hebrew, Norwegian and Malay.

It has received 7,334 reviews of which 6,715 were positive and 619 were negative resulting in a rating of 8.9 out of 10. 😎

The game is currently priced at 10.79€ on Steam.

The Steam community has classified while True: learn() into these genres:

Programming Simulation Education Puzzle Indie Building Science Sandbox Cats Logic Investigation Transhumanism Underground Dynamic Narration Intentionally Awkward Controls Singleplayer Coding 2D Artificial Intelligence

Media & Screenshots

Get an in-depth look at while True: learn() through various videos and screenshots.

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Requirements

These are the minimum specifications needed to play the game. For the best experience, we recommend that you verify them.

Windows

OS *: Windows Vista / 7 / 8 / 10 / 11
Processor: 2.0 GHz
Memory: 2 GB RAM
Graphics: Intel HD Graphics 3000
DirectX: Version 9.0
Storage: 500 MB available space

MacOS

OS: macOS 10.13+
Processor: Apple Silicon is supported / Intel 2.0 GHz
Memory: 2 GB RAM
Graphics: Intel HD Graphics 3000
Storage: 500 MB available space

Linux

OS: Ubuntu 16.04+, SteamOS
Processor: 2.0 GHz
Memory: 2 GB RAM
Graphics: Intel HD Graphics 3000
Storage: 500 MB available space

Reviews

Explore reviews from Steam users sharing their experiences and what they love about the game.

Jan. 2025

I used to work in tech but I've been out of the ballgame for a couple years. I bought this game with the intention of using it to brush up on machine learning concepts as painlessly as possible. For me, the game accomplishes this goal. I think it strikes a great balance between being fun and teaching the concepts. I'm also very satisfied at the rate at which concepts are introduced. The puzzles are neither redundant nor increase in difficulty too quickly. I'm also really loving all the references that are thrown in - for example, a company in the game named "Pro-Toss". I used to play StarCraft a ton, and coming across this was the tipping point where I was like, ok, it's worth my time to write a good review for this game. I saw a negative review saying this game "is very bad at explaining what it wants you to do, which makes the puzzles confusing instead of challenging". This hits on my one sort-of-complaint. I do agree that sometimes the instructions are unclear, but I do NOT agree that this is a bad thing, even though I also personally prefer very clear instructions - because interpreting nebulous instructions from a project manager is also a critical skill :)

Dec. 2024

interesting way of thinking and does help a lot with actual classes I'm taking at the moment

Sept. 2024

This is really a very enjoyable game! It allows you to understand the logic behind the code without the complexity of having to write it. It's an excellent way to combine learning and fun!

Sept. 2024

This is an educational game wrapped in a puzzle game that teaches high level concepts of machine level concepts. If you've been wanting to test the waters of ML, this might help you visualize the jargon that you may have heard. I highly recommend reading all of the supplemental information that the various missions give you as well. I'm enjoying this very much.

June 2024

Cute puzzle game. Not sure how much it's actually teaching so far, but it gives a walkthrough of the history of machine learning and the evolution of technologies. There are links to external sources throughout for those motivated. Still fun for mapping out the flows.

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