while True: learn()
Released Jan 2019
You're a programmer. Your cat is a better one. Solve visual puzzles built from real machine learning ideas, from decision trees to neural networks, to create a cat-to-human translator. Take freelance jobs, upgrade your rig, gamble on startups, dress up the cat. No coding required, curiosity is.
91% positive · 8,182 reviews
Done
All announced content has been released
High confidence
Done
All announced content has been released
High confidence
Where to buy
Steam $12.99
Can't confirm — worth a look
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Evaluation
while True: learn() launched on January 17, 2019 and has received steady post-launch support over the years, including feature updates such as Steam Deck support (April 2022), controller support (April 2023), and expanded localization via AI translation (December 4, 2023). All three DLC items — the Soundtrack, Art Pack, and Mega Map of Machine Learning — shipped within the first few months of the game's launch in early 2019 and none remain unreleased.
On June 14, 2024, the developer stated directly: "Although the active part of development is now over, we are still supporting the game." This was reaffirmed on March 21, 2025, when the developer wrote: "it's a fact that while True: learn() is a game that is done by now." The developer noted they have "some thoughts about future updates… but no dates or promises." A June 25, 2026 studio update makes no mention of planned content for while True: learn(), focusing instead on new projects (SuperWEIRD and Craftomation 101).
The most recent meaningful content update was the AI localization patch on December 4, 2023, which the developer has since described as the end of active development. The game is complete as a product.
Evidence
Developer explicitly states: 'while True: learn() is a game that is done by now.' They mention having vague thoughts about future updates but give no dates or promises.
Developer states: 'Although the active part of development is now over, we are still supporting the game.' Plans mentioned only for localization improvements.
Content
3 of 3 released · no outstanding content
Media
Details
Developer
Publisher
Luden.io
Achievements
31
Platform
Windows, macOS, Linux
Controller
full support
Steam Deck
Verified
Players
Single-player
About this game
while True: learn() is a puzzle game about machine learning, neural networks, big data and AI. But most importantly, it's about understanding your cat.
You play as a coder who has just discovered that their cat is brilliant at machine learning but hopeless at human language. So it's up to you, with a little help from the cat, to figure out how machine learning works and build a cat-to-human translator, one puzzle at a time.
What you'll actually do:
- Build flowcharts from ready-made blocks: expert systems, decision trees, perceptrons, neural networks and more
- Sort data by shape and colour within limits on accuracy, speed and cost, then chase the gold medal
- Read the story behind every technique, with links to articles, videos and courses if you want to go deeper
- Take freelance jobs, buy better hardware, gamble on startups and dress up your cat
No coding experience required, and no code is written in the game. It's a first map of the field, not a course: you'll come out knowing what the words mean, what each idea is for and why it mattered.
Made for curious people who want to see how machine learning ideas fit together before (or instead of) a course, for parents and teachers introducing kids to logic, and for anyone who likes smart cats.
Each puzzle introduces a real technique in the order it appeared in history: from the humble expert systems of the 1960s to recurrent neural networks that predict what comes next. A short note tells you what the block does in the game and what its real-world cousin does, and hand-picked links let you keep reading. Don't worry: it all plays out as a puzzle game.
Drag blocks onto the board, wire them up, press Release and watch the data flow. Bronze usually comes easy. Gold means finding a smarter scheme, trading a little accuracy for speed, or coming back with better hardware. A solution you're proud of can be saved and reused as a single block in later jobs.
Groundbreaking technology takes time, experience and money, so you'll pay your way as a freelancer. Read emails from very strange clients, pick contracts, sit alone in a dark room for days without saying a word, socialize on forums. That's what real data scientists do. We checked.
Jobs are inspired by problems machine learning has solved in real life, including a self-driving car with your cat as the pilot. When you feel confident, become the CTO of a startup: your schemes against the savage laws of the market. Cash out at the top and become a tech guru, or lose everything and crawl back to the doorstep of the HR department. At least it was worth trying, right?
Once the money is flowing, buy hardware that runs your schemes faster. But it's not just about the hardware: get a new smartphone, a geeky figurine, fancy outfits for your cat. Hell, you can even buy yourself an aloe.
Fun fact: this is more or less what machine learning specialists actually do. Now you can become one of them (minus the salary). while True: learn() is the best game about being a data scientist, because nobody else has been weird enough to make one.
Playable with a mouse alone or with a controller, including on Steam Deck. Available in more than 30 languages.
You play as a coder who has just discovered that their cat is brilliant at machine learning but hopeless at human language. So it's up to you, with a little help from the cat, to figure out how machine learning works and build a cat-to-human translator, one puzzle at a time.
What you'll actually do:
- Build flowcharts from ready-made blocks: expert systems, decision trees, perceptrons, neural networks and more
- Sort data by shape and colour within limits on accuracy, speed and cost, then chase the gold medal
- Read the story behind every technique, with links to articles, videos and courses if you want to go deeper
- Take freelance jobs, buy better hardware, gamble on startups and dress up your cat
No coding experience required, and no code is written in the game. It's a first map of the field, not a course: you'll come out knowing what the words mean, what each idea is for and why it mattered.
Made for curious people who want to see how machine learning ideas fit together before (or instead of) a course, for parents and teachers introducing kids to logic, and for anyone who likes smart cats.
Meet the ideas behind machine learning
Each puzzle introduces a real technique in the order it appeared in history: from the humble expert systems of the 1960s to recurrent neural networks that predict what comes next. A short note tells you what the block does in the game and what its real-world cousin does, and hand-picked links let you keep reading. Don't worry: it all plays out as a puzzle game.
Build it, run it, tune it
Drag blocks onto the board, wire them up, press Release and watch the data flow. Bronze usually comes easy. Gold means finding a smarter scheme, trading a little accuracy for speed, or coming back with better hardware. A solution you're proud of can be saved and reused as a single block in later jobs.
Live the life of a freelance data scientist
Groundbreaking technology takes time, experience and money, so you'll pay your way as a freelancer. Read emails from very strange clients, pick contracts, sit alone in a dark room for days without saying a word, socialize on forums. That's what real data scientists do. We checked.
From self-driving cars to startups
Jobs are inspired by problems machine learning has solved in real life, including a self-driving car with your cat as the pilot. When you feel confident, become the CTO of a startup: your schemes against the savage laws of the market. Cash out at the top and become a tech guru, or lose everything and crawl back to the doorstep of the HR department. At least it was worth trying, right?
Improve your gear, improve your life!
Once the money is flowing, buy hardware that runs your schemes faster. But it's not just about the hardware: get a new smartphone, a geeky figurine, fancy outfits for your cat. Hell, you can even buy yourself an aloe.
Fun fact: this is more or less what machine learning specialists actually do. Now you can become one of them (minus the salary). while True: learn() is the best game about being a data scientist, because nobody else has been weird enough to make one.
Playable with a mouse alone or with a controller, including on Steam Deck. Available in more than 30 languages.
Are these done yet?
Last evaluated Jun 27, 2026
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