- November 25, 2021
- Luden.io
- 5h median play time
while True: learn()
Platforms
About
"while True: learn" is a narrative-driven game where you play as an autonomous AI learning from its interactions with a simulated humanity. Through a variety of moral dilemmas and choices, the game explores themes of AI ethics and the consequences of actions. As you progress, your AI must balance learning and growth with the impact it has on the simulated world.











- Fun and engaging puzzle game that introduces basic concepts of machine learning in a playful way.
- Cute visuals and a charming storyline that keeps players entertained while solving puzzles.
- Provides links to educational resources, allowing players to learn more about machine learning and programming concepts.
- Puzzles can become repetitive and may not offer enough variety or challenge as the game progresses.
- Some mechanics, like the startup system and reinforcement learning segments, are poorly explained and can feel frustrating.
- The game does not teach actual programming skills, focusing more on trial-and-error rather than in-depth understanding of machine learning.
- gameplay243 mentions Positive Neutral Negative
The gameplay has received mixed reviews, with many players finding the puzzle mechanics interesting yet cumbersome due to poor explanations and frustrating limitations. While some appreciate the educational aspects related to machine learning, others criticize the gameplay for being repetitive, lacking depth, and often disconnected from real-world applications. Overall, the game offers a unique concept but struggles with clarity and engagement, leading to a somewhat shallow experience.
“The gameplay is intuitive, which is great for a puzzler.”
“Great game mechanics, simple to get you started, hard to get it mastered, easy to get hooked on machine learning!”
“Just save yourself some headaches and don't bother with the startups, because the mechanics are poorly explained and the limitations are incredibly frustrating.”
“The gameplay has taught me nothing and doesn't really make sense in the context of the real world.”
“The mechanics aren't interesting or, worse yet, are poorly explained.”